Lead Full Stack Engineer, Data Analytics Assurance

About the Role

We are looking for a Lead Full Stack Engineer to help drive the development testing and delivery of AI-enabled solutions for Assurance.
This role is ideal for a hands-on engineer who can go beyond coding. You will act as a technical product lead working across product engineering AI data testing and assurance teams to turn business needs into scalable reliable and production-ready AI solutions.

You will help lead a full-stack development team shape technical requirements manage delivery priorities and ensure our Assurance AI products meet the quality reliability usability and testing standards required for enterprise and assurance use cases.

What You Will Do

• Own the end-to-end delivery of Assurance AI features from requirements and solution design through development testing release and production support
• Work closely with Assurance stakeholders to translate business objectives into clear product requirements user stories acceptance criteria and technical delivery plans
• Lead and coordinate developers across front-end back-end API data cloud AI and testing workstreams
• Design build and review scalable full-stack applications APIs workflows dashboards and integrations that support AI-enabled assurance use cases
• Act as the bridge between business stakeholders product owners AI specialists developers and testers to ensure delivery remains aligned practical and outcome-focused
• Drive sprint planning backlog prioritization technical design discussions dependency management and release readiness
• Define and support testing strategies for AI-enabled products including functional testing integration testing regression testing user acceptance testing model-output validation prompt testing and data quality checks
• Identify technical risks delivery blockers architectural trade-offs and quality gaps early and work with the team to resolve them
• Promote strong engineering practices including code reviews documentation automated testing CI/CD monitoring and production-readiness checks
• Help establish reusable patterns components and development practices that accelerate future Assurance AI delivery.

What We Are Looking For

• 5 years of professional software engineering experience including hands-on full-stack development
• Strong experience with modern front-end and back-end technologies such as React Angular Vue Python or similar
• Experience designing and building APIs working with databases integrating systems and delivering secure scalable applications
• A strong understanding of software testing release management CI/CD monitoring and production support
• Experience leading developers managing technical workstreams or coordinating delivery across cross-functional teams
• The ability to translate ambiguous business needs into clear technical requirements delivery plans and measurable outcomes
• Strong communication skills with the ability to explain technical decisions to both engineering and non-technical stakeholders
• A product mindset including comfort with backlog management prioritization user stories acceptance criteria and stakeholder alignment

Nice to Have

• Experience building or integrating AI GenAI LLM machine learning or agentic workflow solutions
• Experience with AI testing and validation including prompt evaluation model-output review hallucination checks explainability and human-in-the-loop review
• Experience in assurance audit risk compliance financial services professional services or other regulated enterprise environments
• Familiarity with Azure OpenAI AWS Bedrock Google Cloud AI OpenAI APIs vector databases RAG architectures document processing or workflow automation
• Experience working in Agile delivery environments and supporting Scrum ceremonies release planning or technical governance

What Success Looks Like

• Deliver Assurance AI capabilities that are reliable scalable tested and ready for business use
• Improve coordination and delivery velocity across the full-stack development team
• Turn complex assurance and AI requirements into practical buildable and testable solutions
• Reduce ambiguity between business product AI engineering and testing teams
• Raise the quality of development testing documentation and release practices
• Create reusable technical patterns that allow Assurance AI products to scale across future use cases

About You

You are a hands-on engineer with strong product instincts. You enjoy building software but you also enjoy leading teams clarifying ambiguity managing priorities and making sure the right product gets delivered the right way.

You are comfortable moving between code architecture product requirements testing strategy stakeholder discussions and delivery planning. You can zoom into technical details when needed but you can also step back and guide the team toward the bigger outcome.