Lead Technical Product Engineer

Responsibilities:

• Drive discussions around new and emerging platforms and help determine the best way to utilise new technologies to build business solutions.
• Synthesise current state processes, operating models, and ways of working in order to define new, digitally oriented clarity on requirements.
• The role will work across a diverse stakeholder group, driving consensus, and creating a shared understanding of detailed requirements in conjunction with technical delivery
• Responsible for conducting complex and thorough research of existing processes, systems, systems logic, and desired objectives to develop detailed systems specifications to meet the objectives of the assigned projects.
• Design, prototype, and productionize AI-powered capabilities using modern GenAI technologies including LLMs, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), agentic architectures, orchestration frameworks, and enterprise governance to improve both customer experience and engineering productivity.
• Partner closely with UI/UX teams to capture interactive needs, defining precise acceptance criteria based on component layouts, user states, and design systems. Drive value through rapid POCs.
• Prioritise and sequence the backlog of epics/features/user stories according to business value throughout the release and sprint planning cycles.
• Track and manage delivery execution by monitoring timelines, escalating risks promptly, removing blockers, and facilitating daily scrums to ensure smooth progress and timely delivery.
• Meet with business teams when needed and perform an initial assessment of a problematic situation.
• Collect information about the business process through a variety of methods (shadowing, interviews, surveys, reading reports, etc. )
• Provide strategic support to customers in defining or designing business processes and help to identify technologies based on customer requirements.
• Coordinate multi-system solutions to clarify interdependencies so that systems appear seamless to the customer.
• Extensive knowledge of product and software development techniques and agile methodologies.
• Ensure AI-powered solutions are secure, explainable, observable, cost-efficient, and compliant with enterprise governance standards while continuously evaluating model quality, reliability, and business outcomes.

Requirements:

• Bachelor's degree in computer science, Engineering, Information Systems, or a related quantitative field, or equivalent practical experience.
• Minimum 7 years of hands-on experience as a Technical Product Engineer, product owner or equivalent.
• Solid understanding of system architecture, modern distributed systems, AI foundations (prompt engineering, Retrieval-Augmented Generation (RAG), context engineering, guardrails, agentic systems, and LLM-based application design), along with cloud-native platforms such as AWS (Amazon Bedrock, API Gateway, Lambda, CloudWatch, S3 etc. ).
• Knowledge of concepts and principles of agile methodology; ability to apply appropriate agile approaches in the processes of software development and delivery.
• Knowledge of product features; ability to design, build, and develop a new product, technology, or service from feasibility through to production.
• Hands-on proficiency in reading and interpreting Swagger/API specifications, RESTful JSON structures, and microservices architecture.
• Experience leveraging AI-assisted software engineering tools (e. g., GitHub Copilot, Cursor, Claude Code, Kiro, Amazon Q Developer) to improve software delivery and developer productivity.
• Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyse, and record required business functionality and non-functional requirements to ensure the success of a system or software development project.
• Strong written, oral communication, and social skills.
• Must have excellent planning and organisational skills, strong verbal, written communication, and facilitation skills.
• Must be performing satisfactorily in present position.
• Consistently prioritises safety and security of self, others, and personal data.
• Embraces diverse people, thinking, and styles.

Good to Have:

• Solid Understanding of Agile/SDLC development methodologies.
• DevOps experience including the use of Enterprise Agile planning solutions such as Agility. AI or similar.
• Previous experience as a product Subject Matter Expert, including ownership for its development and performance.
• Experience designing, deploying, and scaling enterprise AI applications using Amazon Bedrock, Anthropic Claude, OpenAI APIs, or equivalent GenAI platforms.
• Familiarity with leveraging AI-assisted software engineering frameworks (e. g., Copilot, Kiro, Cursor, Bedrock) to optimise enterprise engineering workflows.
• Flexibility to adapt and plan for changing business objectives.
• Cloud Architecture certification, such as AWS Certified Cloud Practitioner.
• Certification in Agile frameworks, such as a Product Owner certification.
• Airline business experience, as well as business process re-engineering and/or extensive experience working with agile teams, is desirable.

Skills

AI, AWS, Bedrock, CloudWatch, GenAI, LLM, Lambda, S3, large language model, product, product owner