At a Glance
- Tasks: Lead AI platform deployments and drive innovative solutions in complex environments.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on career development and innovation.
- Why this job: Make a real impact by transforming businesses with cutting-edge AI technology.
- Qualifications: Strong engineering background and experience leading software teams.
The predicted salary is between 80000 - 100000 £ per year.
Key Responsibilities
- Lead enterprise AI platform deployments across complex multi‑stakeholder client environments – Anthropic, Open AI, Microsoft, Google, Salesforce, SAP, or Palantir – owning the full programme from architecture through adoption.
- Own programme‑level delivery outcomes: time‑to‑value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached.
- Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments.
- Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi‑system workflow integration at programme scale.
- Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation frameworks, and multi‑year AI adoption roadmaps.
- Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice.
- Lead architecture design sessions, executive workshops, and code‑with sessions with client engineering and C‑suite leadership teams.
- Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward‑deployed engineers.
- Basic Qualifications
- Strong engineering experience with cloud‑native systems (APIs, microservices, containerisation, serverless).
- Expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Experience with AI platforms – Open AI, Claude, Vertex AI, plus open‑source models – including building abstraction layers to manage multi‑provider pipelines.
- Experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports.
- Demonstrated end‑to‑end delivery ownership in a client‑embedded environment; internal projects, vendor labs, or team‑only deployments do not qualify.
- Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on.
- Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level.
- Non‑linear profiles are expected and welcomed; assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching.
- People lead responsibilities: experience managing, developing, and performance‑managing a team of engineers; setting individual development plans and conducting career conversations.
- Locations
- London
- Birmingham
- Manchester
- Newcastle
- Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
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Forward Deployed Engineering (Manager) in London employer: WeAreTechWomen
At Accenture, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London office provides unparalleled opportunities for professional growth, with access to cutting-edge AI technologies and the chance to work alongside industry leaders. We are committed to your development, ensuring you have the resources and support needed to thrive in your role as a Senior Manager/Associate Director in AI architecture.