Technical Programme Manager (AI-SDLC)

Hitachi, Ltd.; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Health and wellness plan

Private healthcare

Pension scheme

Annual volunteering day

Social events

Job summary

GlobalLogic is seeking a Technical Programme Manager (AI SDLC) in the UK to lead multi-million-pound engineering programmes and drive AI-powered software products across the enterprise SDLC. You will coordinate distributed teams, oversee architecture alignment, and govern AI delivery with metrics and risk controls.

The role emphasizes executive advisory, pre-sales involvement, and governance of AI software quality, ensuring compliance with GDPR and evolving AI standards.

Qualifications

• Deep understanding of how AI integrates into modern software engineering, including LLMOps and MLOps patterns.
• Expertise in enterprise DevOps/DevSecOps, CI/CD automation, trunk-based development, and AI coding assistants.
• Strong grounding in AI ethics, IP guardrails, security standards for AI-generated software, and regulatory compliance.
• Experience leading large, fixed-outcome programmes with 10M+ annual revenue and 100+ distributed engineers.
• Proficiency in DORA metrics, SPACE framework, and productivity tracking for AI-enabled teams.
• Financial governance skills including P&L management and margin optimization.

Responsibilities

• Drive end-to-end AI SDLC delivery for multi-million-pound programmes from discovery to production rollout.
• Lead AI-enabled SDLC transformation, integrating AI tools into client pipelines and measuring developer productivity.
• Provide architecture and technical alignment across AI stacks, ensuring scalability and security.
• Lead pre-sales engagements, architect SOWs and solution proposals for AI platform engineering.
• Establish governance for AI software quality including automated evaluations and regression testing.

Skills

AI SDLC fluency

LLMOps

DevOps/DevSecOps

CI/CD automation

Prompt engineering

AI security governance

Delivery leadership

P&L management

Risk management

Executive advisory

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Copilot

Cursor

Static analysis tools

evals frameworks

RAG architectures

Job description

Job Description

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.

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What we offer

Why work at GlobalLogic

Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering our 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 also supports a hybrid model which can flex across a wide spectrum of working options determined by our business, customer and individual needs.

You’ll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), and discounted gym memberships. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day – so you can take time to support a cause close to your heart. We also love to stay social at our 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.

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.