FyrFly Venture Partners
Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value-not just promise potential. That means taking cutting edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build-owning everything from backend services to LLM pipelines and front end integrations. You partner with customers in the field to design, implement, and deliver solution ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation-delivering systems that are battle tested in production and scalable across industries. Who You Are: You are a systems minded, AI native engineer who ships real software. You own the full stack-and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product minded CTO, balancing creativity with pragmatism to deliver impact. You embed deeply with customer teams, diagnose root problems, and architect AI powered workflows that run at scale. You don't just debug code-you debug systems, context, and customer pain points. You will: Build solution ready LLM enabled applications that span backend logic, data orchestration, and front end UI Operate in the field, working side by side with customers to adapt, deploy, and iterate in live environments Codify reusable assets-libraries, prompts, scaffolds-to accelerate future engagements Shape developer experience by sharing feedback with platform and product teams What You'll Do: Deliver Production - readysolution in agile end to end sprints Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers Influence platform: inform product strategy through field tested insights and extensible code What Success Looks Like: Production grade delivery: Your solution builds consistently convert to scaled deployments in production environments Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives Velocity and precision: You move fast without breaking things-shaping resilient, secure systems in high stakes contexts Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer facing or embedded roles System architecture: Proven ability to design and implement AI native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra as code Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters Preferred Qualifications: Experience integrating AI into SaaS platforms like ServiceNow or Salesforce Track record of production deployments in secure, regulated enterprise environments Contributions to dev experience tooling, frameworks, or reusable AI scaffolds Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value-not just promise potential. That means taking cutting edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build-owning everything from backend services to LLM pipelines and front end integrations. You partner with customers in the field to design, implement, and deliver solution ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation-delivering systems that are battle tested in production and scalable across industries. Who You Are: You are a systems minded, AI native engineer who ships real software. You own the full stack-and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product minded CTO, balancing creativity with pragmatism to deliver impact. You embed deeply with customer teams, diagnose root problems, and architect AI powered workflows that run at scale. You don't just debug code-you debug systems, context, and customer pain points. You will: Build solution ready LLM enabled applications that span backend logic, data orchestration, and front end UI Operate in the field, working side by side with customers to adapt, deploy, and iterate in live environments Codify reusable assets-libraries, prompts, scaffolds-to accelerate future engagements Shape developer experience by sharing feedback with platform and product teams What You'll Do: Deliver Production - readysolution in agile end to end sprints Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers Influence platform: inform product strategy through field tested insights and extensible code What Success Looks Like: Production grade delivery: Your solution builds consistently convert to scaled deployments in production environments Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives Velocity and precision: You move fast without breaking things-shaping resilient, secure systems in high stakes contexts Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer facing or embedded roles System architecture: Proven ability to design and implement AI native software in production environments Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL) LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra as code Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters Preferred Qualifications: Experience integrating AI into SaaS platforms like ServiceNow or Salesforce Track record of production deployments in secure, regulated enterprise environments Contributions to dev experience tooling, frameworks, or reusable AI scaffolds Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
FyrFly Venture Partners
Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1 off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem solver who thrives in complex, fast paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: Lead Strategic Discovery: Identify high impact AI opportunities by running hands on workshops and aligning stakeholders. Architect AI Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. Drive Alignment: Influence customer and executive buy in through clear storytelling and solution framing. Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: Solution Ready Build Delivered: You deliver a validated AI solution ready build within 8-12 weeks that directly addresses a business critical problem. Widespread Reuse: Your assets- from prompts to orchestration logic-are leveraged by other teams and codified for scale. Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry. Enterprise Experience: 12+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. Technical Mastery: Strong grasp of LLM based systems and GenAI pipelines including prompt engineering, retrieval augmented generation (RAG), orchestration, and data modeling. Experience designing full stack intelligent workflows. Cloud & Infrastructure Fluency: Deep hands on experience with AWS, Azure, or GCP, including use of containers, infrastructure as code (Terraform, CloudFormation), and enterprise integration patterns. Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code level decisions. Customer & Delivery Leadership: Comfortable operating in ambiguous, high stakes environments. Experienced in guiding cross functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: Prior work delivering AI or intelligent workflow solutions at scale. Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. Experience with SaaS platforms, enterprise data integration, and low code environments. History of converting field delivery into reusable product patterns. Proven success in deploying AI solutions that delivered tangible customer impact. Hands on experience integrating AI into enterprise SaaS platforms. Skill translating real world constraints into reusable internal tools or product enhancements. Familiarity with AI governance, compliance, and enterprise security practices. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission critical challenges. By embedding in real world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1 off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem solver who thrives in complex, fast paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: Lead Strategic Discovery: Identify high impact AI opportunities by running hands on workshops and aligning stakeholders. Architect AI Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. Drive Alignment: Influence customer and executive buy in through clear storytelling and solution framing. Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: Solution Ready Build Delivered: You deliver a validated AI solution ready build within 8-12 weeks that directly addresses a business critical problem. Widespread Reuse: Your assets- from prompts to orchestration logic-are leveraged by other teams and codified for scale. Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision making, or problem solving. This may include using AI powered tools, automating workflows, analyzing AI driven insights, or exploring AI's potential impact on the function or industry. Enterprise Experience: 12+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. Technical Mastery: Strong grasp of LLM based systems and GenAI pipelines including prompt engineering, retrieval augmented generation (RAG), orchestration, and data modeling. Experience designing full stack intelligent workflows. Cloud & Infrastructure Fluency: Deep hands on experience with AWS, Azure, or GCP, including use of containers, infrastructure as code (Terraform, CloudFormation), and enterprise integration patterns. Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code level decisions. Customer & Delivery Leadership: Comfortable operating in ambiguous, high stakes environments. Experienced in guiding cross functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: Prior work delivering AI or intelligent workflow solutions at scale. Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. Experience with SaaS platforms, enterprise data integration, and low code environments. History of converting field delivery into reusable product patterns. Proven success in deploying AI solutions that delivered tangible customer impact. Hands on experience integrating AI into enterprise SaaS platforms. Skill translating real world constraints into reusable internal tools or product enhancements. Familiarity with AI governance, compliance, and enterprise security practices. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.