Technical Delivery Lead (AI-SDLC)

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. #LI-CM1 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.