About the Role
As artificial intelligence shifts from experimental pilots to core enterprise architecture, leading organisations require digital engineering partners who can embed AI directly into the Software Development Life Cycle (SDLC). This requires moving beyond traditional software delivery to operationalise Agentic Workflows, Generative AI tooling, LLMOps, and automated AI-driven engineering practices at scale.
As a Technical Programme Manager (AI SDLC) based in the UK, you will serve as the senior delivery authority accountable for leading multi-million-pound engineering programmes. You will drive both the creation of AI-powered software products and the transformation of enterprise SDLCs using modern AI tooling (Copilots, automated code generation, AI testing, and continuous delivery pipelines).
Requirements
Domain & Technical Expertise
- AI SDLC & LLMOps Fluency: Deep understanding of how AI integrates into modern software engineering—including LLMOps, RAG patterns, Agentic frameworks, fine-tuning vs. prompt engineering, vector storage, and model observability tools.
- Modern SDLC & Tooling Mastery: Expertise in enterprise DevOps/DevSecOps, CI/CD automation, trunk-based development, and AI coding assistants (e.g., GitHub Copilot, Tabnine, Amazon Q).
- AI Security & Governance: Strong grounding in AI ethics, IP guardrails, security standards for AI-generated software, and compliance with emerging AI regulations.
- Programme & Delivery Leadership
- Large-Scale Delivery Track Record: 15+ years in Digital/Software Engineering or IT Consulting, with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centres.
- Agile Software Metrics: Expertise in tracking and improving engineering health using DORA metrics, SPACE framework, and productivity tracking tailored for AI-augmented teams.
- Commercial & Risk Rigour: Strong financial governance (P&L management, margin optimisation, commercial risk mitigation) for complex client engagements.
Strategic Influence & Communication
- Executive Advisory: High executive presence to bridge business goals, technical execution, and engineering culture, acting as a trusted advisor to client CTOs, CIOs, and VPs of Engineering.
- Value & Impact Orchestration: Ability to articulate the business case and ROI for AI adoption in software delivery through clear, metric-driven communication.
- Academic Background: Degree in Computer Science, Software Engineering, Artificial Intelligence, or a related quantitative field preferred.
Job Responsibilities
Delivery & AI Engineering Oversight
- End-to-End AI SDLC Delivery: Drive the full lifecycle of complex software programmes incorporating AI (Custom LLM solutions, RAG architectures, Agentic Workflows, and AI-powered SDLC tooling) from discovery to production rollout.
- AI-Assisted SDLC Transformation: Lead initiatives to integrate AI tools (GitHub Copilot, Cursor, automated test generators, static analysis tools) into client software pipelines, measuring and accelerating developer productivity and code quality.
- Architecture & Technical Alignment: Interrogate architectural decisions across the AI software stack (LLMOps pipelines, fine-tuning frameworks, vector databases, cloud infrastructure) to ensure solutions are scalable, maintainable, and secure.
- Pre-Sales & AI Solutioning: Lead technical pre-sales engagements, architecting Statements of Work (SOWs) and solution proposals for AI platform engineering and software transformation engagements that are commercially sound and technically viable.
- Model Evaluation & Quality Assurance: Establish governance for AI software quality, including automated evaluation frameworks (evals), regression testing for non-deterministic model outputs, and hallucination monitoring.
Programme Governance & Financial Rigour
- P&L & Commercial Accountability: Take full financial responsibility for large-scale engineering programmes (£10M+ annual revenue), optimising pod structures and delivery velocity to protect and grow margins.
- AI Risk & Responsible Governance: Proactively identify systemic delivery and technical risks—including model drift, IP leakage, licensing issues in generated code, data privacy breaches, and security vulnerabilities (OWASP Top 10 for LLMs).
- Regulatory & Safety Compliance: Ensure all delivery frameworks adhere strictly to evolving AI governance standards, copyright guidelines, data privacy regulations (GDPR), and regulatory frameworks (e.g., EU AI Act).
Global Leadership & Stakeholder Management
- Distributed Team Orchestration: Direct and empower distributed cross-functional teams (Software Engineers, AI/ML Engineers, Prompt Engineers, DevOps/LLMOps Specialists, QA Engineers) of 100+ people across global delivery centres.
- CTO & Engineering Leadership Advisory: Serve as the primary delivery escalation point for client engineering executives. Translate complex AI capabilities and metrics (cycle time, lead time, deployment frequency, model accuracy) into clear business outcomes.
- Engineering Culture & Upskilling: Drive continuous learning across delivery teams, championing modern software engineering standards, AI-driven development patterns, and prompt engineering best practices.
What we offer
Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences – providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs.
- comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages.
- competitive pension scheme and recognition schemes through bonus/reward initiatives.
- annual volunteering day – so you can take time to support a cause close to your heart.
- social activities such as trips to the zoo, quiz nights, sports events, theatre trips and much more.
We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy.
We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
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