Koud is looking for a Technical Delivery Lead to work with one of our clients.
We are seeking a Technical Delivery Lead to drive the internal delivery of AI and digital transformation projects. You will oversee engineering execution, QA, risks, and dependencies, ensuring delivery of production-ready solutions while keeping the team aligned and unblocked.
This is not a client-facing role. You will focus on internal delivery excellence, including architecture oversight, engineering standards, and team mentorship. Fluent English and international project experience are required.
Key Responsibilities:
- Provide hands on technical leadership across AI/ML, automation, and integration;
- Review and approve system architecture, technical designs, and solution proposals;
- Ensure solutions meet standards of performance, scalability, security, and maintainability;
- Enforce coding standards, design patterns, and technical best practices across the team;
- Own and drive the QA strategy across all delivery workstreams, including automated testing, code review gates, and acceptance criteria;
- Define and track engineering KPIs (code coverage, defect escape rate, deployment frequency, MTTR, and change failure rate);
- Promote shift left testing practices, including AI model validation, integration testing, and performance benchmarking;
- Lead post incident reviews (PIRs) and blameless retrospectives to drive continuous improvement;
- Ensure compliance with industry standards and regulations (SOC 2, ISO 27001, GDPR);
- Drive technical delivery across multiple projects using Agile/Scrum methodologies;
- Partner with Scrum Master, engineering leads, and engagement owner to define sprint goals, manage dependencies, and remove blockers;
- Own technical risks, mitigation plans, and escalation, surfacing issues early;
- Coordinate cross functional teams (AI/ML, data, DevOps, automation, QA);
- Prepare technical reports, roadmaps, and delivery milestones for internal review;
- Translate high level requirements into actionable technical work for the engineering team;
- Mentor and coach senior engineers, fostering a culture of technical excellence and continuous learning;
- Lead hiring efforts, including technical interview design, candidate evaluation, and onboarding;
- Drive adoption of emerging technologies, frameworks, and AI/ML best practices across the team;
- Promote knowledge sharing through tech talks, brown bags, ADRs, and internal documentation.
Requirements:
- Progressive experience in software engineering, with solid experience in a technical delivery lead, engineering manager, or technical program manager role;
- Proven delivery experience in international or multi region projects;
- Proven experience delivering complex, multi workstream AI/ML or enterprise software projects end to end;
- Deep knowledge of modern AI/ML stack: LLMs, RAG, vector databases, and agentic frameworks;
- Hands on experience with at least two languages (Python, TypeScript/JavaScript, Go, or Java);
- Experience with cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, Pulumi);
- Strong QA expertise (automated testing, CI/CD, observability);
- Ability to clearly communicate technical status, risks, and trade offs;
- Strong understanding of Agile/Scrum (planning, backlog, velocity);
- Experience with compliance frameworks (SOC 2, ISO 27001, GDPR, HIPAA, or similar);
- Fluent English and experience working on international, multicultural teams;
- Strong communication, stakeholder management, and problem solving skills.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field;
- Previous experience mentoring engineers or acting as a technical lead;
- Experience in insurance, financial services, or other highly regulated industries;
- Familiarity with MLOps practices: model versioning, A/B testing, drift detection, and automated retraining pipelines;
- Certifications: PMP, SAFe, AWS Solutions Architect, Azure Solutions Architect, or equivalent;
- Experience managing hybrid onshore/offshore delivery teams;
- Track record of building and scaling AI Centers of Excellence or innovation teams;
- Familiarity with AI governance frameworks, responsible AI practices, and EU AI Act compliance;
- Experience with platform engineering concepts: developer portals, internal developer platforms (IDPs), and self service infrastructure.
Working Model & Collaboration:
- Brazil based role with a 100% remote working model;
- Close collaboration with international stakeholders and teams across regions;
- Schedule flexibility may occasionally be required for critical milestones or major incidents.