Specialist Agentic Lead

We are seeking a highly capable and hands-on Tech Lead (GenAI Agents) to lead the end to-end technical solution for agent-based GenAI use cases delivered through the GenAI Agents Hub. This role provides technical leadership across discovery, detailed design, build, test, and deployment, ensuring each agent is implemented within the approved agent deployment tech stack, adheres to enterprise engineering standards, and is delivered with high quality, security, and operational readiness. As the technical authority for agent delivery, you will shape and assure solution designs, approve agent build and deployment pipelines, perform and govern code reviews, and ensure the detailed design aligns with the approved high-level design and reference architectures. You will work closely with product owners, AI engineers, platform teams, cyber/security, and domain SMEs to deliver production-ready agents that are scalable, maintainable, and supportable. This is an opportunity to set the technical bar for enterprise agent delivery, uplift engineering practices across federated teams, and help define how agentic solutions are built and operationalised at scale.

Key Accountabilities:

Technical Leadership & Solution Ownership:

• Lead the technical solution for every agent use case assigned, owning the technical approach from inception through to production deployment and operational handover.
• Translate product requirements into robust technical solutions, including architecture, integration patterns, data flows, telemetry, and non-functional requirements (security, reliability, performance, cost).
• Ensure each agent solution fits within the approved tech stack and aligns with the GenAI Agents Hub standards, patterns, and reference implementations.
• Act as the primary technical escalation point for delivery issues, design decisions, and build/deployment challenges.

Architecture & Design Assurance (HLD → LLD):

• Own and assure the detailed design (LLD) for agents and supporting components, ensuring it remains within the bounds of the approved high-level design (HLD) and enterprise architecture guardrails.
• Produce and/or review technical artefacts such as: solution and component designs, sequence diagrams and data flows, API/event contracts, threat models / security considerations, dependency and integration maps, operational readiness checklists and runbooks
• Facilitate technical design reviews with stakeholders (platform, cyber, architecture, SRE/operations) and drive closure on design actions.
• Maintain alignment to engineering best practice: modularity, testability, maintainability, observability, and performance.

Engineering Excellence (Code Quality, Reviews, Standards):

• Set coding standards and enforce quality controls across agent implementations (including error handling, logging, testing, secure coding, and reuse patterns).
• Perform code reviews for agent features, connectors, orchestration logic, and infrastructure changes; ensure coding best practices and policy compliance are met before merge.
• Drive effective engineering hygiene: branching and PR discipline, definition of done (DoD), unit/integration test coverage expectations, dependency and secrets management, code scanning remediation and technical debt management
• Mentor and uplift developers and federated delivery teams, promoting consistent engineering patterns across use cases and squads.

Agent Delivery (Build, Integration, Orchestration):

• Lead the design of agentic capabilities including: prompting patterns and prompt management, tool use and function calling, retrieval and vector search (RAG), memory/context strategies, orchestration patterns (single agent and multi-agent), integration with enterprise systems via APIs
• Guide implementation of reusable tools, connectors, and components to accelerate delivery and reduce duplication across agent use cases.
• Ensure agents meet production expectations: correctness, robustness, latency, availability, and safe failure modes.

CI/CD, Pipelines & Deployment Approvals:

• Own and approve agent build and deployment pipelines, ensuring they meet enterprise requirements for: automated testing gates, static analysis / code scanning, artefact management and versioning, environment promotion controls (non-prod → prod), separation of duties and approval workflows
• Ensure consistent CI/CD practices are applied across agent repositories and teams, supporting reliable and repeatable deployments.
• Partner with platform/DevOps teams to improve deployment automation, reduce cycle time, and increase release confidence.

Security, Governance & Risk Controls:

• Ensure solutions comply with security and governance standards, including secure coding, secrets handling, identity/access management, and data protection requirements.
• Drive adoption of policy controls and guardrails for agent execution, including appropriate logging/telemetry, auditability, and operational controls.
• Identify and manage technical risks early (performance, integration fragility, model limitations, cost risks, operational complexity) and put mitigation plans in place.

Operational Readiness & Supportability:

• Ensure every agent is production-ready with strong observability (logging, metrics, tracing) and clear operational documentation (runbooks, dashboards, alerting thresholds).
• Support incident diagnosis, root cause analysis, and continuous improvement; partner with operational teams to reduce recurring issues and improve resilience.
• Establish and monitor SLO/SLA-aligned requirements (where applicable) and ensure designs incorporate reliability and performance considerations from the outset.

Collaboration & Continuous Improvement:

• Work closely with product owners, SMEs, developers, and platform teams to balance delivery outcomes with quality, governance, and strategic alignment.
• Contribute to the evolution of the GenAI Agents Hub ecosystem by recommending improved patterns, tooling, reference implementations, and engineering standards.
• Stay current with emerging GenAI and agentic patterns and assess applicability for enterprise adoption in a safe, governed manner.

Required Skills & Experience

• Strong experience as a Tech Lead / Senior Engineer / Engineering Lead delivering production-grade solutions end-to-end (design → build → deploy → support).
• Deep software engineering capability, including: robust error handling, structured logging and observability patterns, unit and integration testing strategies, secure coding practices, modular design and code reuse, performance and reliability engineering
• Proven experience leading technical design, performing design assurance, and governing solution quality through code reviews and engineering standards.
• Strong understanding of cloud-native architectures and distributed systems, including API and event-driven patterns.
• Demonstrated experience establishing and approving CI/CD pipelines and deployment controls with automated quality gates.

Good to Have:

• Hands-on experience with agentic / LLM-enabled solutions, including: prompt engineering and prompt lifecycle management, embeddings, vector retrieval, and RAG, tool/function calling, orchestration patterns and guardrails
• Experience with Infrastructure-as-Code (e.g., Terraform) and automated environment provisioning for solution delivery.
• Strong experience integrating solutions with enterprise platforms (identity, logging/monitoring, integration middleware, data platforms) using secure integration patterns.
• DevOps/SRE exposure including incident response, monitoring/alerting practices, and production support models.
• Experience working in federated delivery models with shared standards and governance.
• Experience contributing to engineering playbooks, reference architectures, reusable components, and enablement material for broader developer communities.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent relevant experience).
• Cloud and/or security certifications are beneficial but not required.

What You Will Bring:

• Technical leadership with a pragmatic, delivery-focused mindset—able to set standards while keeping momentum.
• Strong judgement and decision-making in ambiguous environments, including balancing risk, time, and value.
• A high bar for engineering quality, reliability, and security, with the ability to uplift others through coaching and clear guidance.
• Excellent stakeholder engagement skills, including the ability to communicate technical topics clearly to both technical and non-technical audiences.
• Passion for emerging AI technologies, continuous improvement, and building scalable capabilities that can be adopted broadly across the organisation.