AI & Agentic Technical Delivery Lead (Customer)

Accenture PLC; Greater London; On-site; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Leave & volunteering days (30+3)

Flexible work policies

Pension plan

Private healthcare

Mental wellbeing support

Employee Assistance Programme

Career development

Parental leave

Job summary

Accenture Song in London/Manchester is seeking an AI & Agentic Technical Delivery Lead to steer customer AI solutions from design through production. You will review architectures, advise stakeholders, and guide delivery teams across data scientists, engineers and product specialists to deliver measurable business value.

The role combines client advisory, technical leadership and delivery accountability, with a focus on personalisation, customer decisioning, and agentic workflows.

Qualifications

• Production AI and agentic delivery: taking generative AI from PoC to production with governance and cost controls.
• Broad AI, ML and data science knowledge applied to customer growth and experience.
• Experience advising senior stakeholders on AI strategy, feasibility and value.
• Strong software engineering foundations, API integration, and deployment patterns.
• Delivery leadership across cross-functional engineering, data science and product teams.
• Ability to translate client ambitions into viable technical plans and estimates.
• Experience advising C-suite on AI strategy, risk, value and delivery.
• Understanding of responsible AI, governance, privacy, and security.

Responsibilities

• Review architectures and challenge design decisions to enable production-ready AI solutions.
• Identify risks early: data quality, integration complexity, performance and ops readiness.
• Advise stakeholders on feasibility, value and trade-offs of AI solutions.
• Translate client ambitions into technical requirements, delivery plans and estimates.
• Assess proofs of concept for production readiness and scalability.
• Ensure solutions deliver measurable value across customer experience and growth.
• Provide leadership across multidisciplinary teams and drive engineering best practices.

Skills

Production AI delivery

AI and data science breadth

Customer AI expertise

Engineering foundations

Technical delivery leadership

Estimation & scoping

Senior client advisory

Responsible AI & governance

Tools

Python

CI/CD

Cloud platforms

APIs

Job description

Job Description

Job Role: AI & Agentic Technical Delivery Lead (Customer)

Team: Song AI & Data - AI & Modelling Craft, UK&I

Location: London / Manchester

Career Level: Senior Manager (L6)

We Are

Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate efficiently and sustainably through the unlimited potential of imagination, technology and intelligence.

Visit us at:

https://www.accenture.com/gb-en/about/accenture-song-index

The Team

Within Accenture Song sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation, and AI (including generative AI and agentic AI) transformation.

You will join the Song AI & Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating AI products that deliver measurable business value.

The Role

Generative AI is moving from experimentation into enterprise delivery, and the gap between a compelling demonstration and a production-ready solution remains significant. Solutions that succeed at scale must be reliable, secure, cost-effective and capable of delivering measurable business outcomes.

As an AI & Agentic Technical Delivery Lead, you will be the senior technical authority responsible for ensuring customer AI and agentic solutions are delivered successfully. You will review and challenge solution designs, identify risks before they become delivery issues, advise senior client stakeholders on what is realistically achievable, and help teams move from proof of concept to production.

The role combines client advisory, technical leadership and delivery accountability. You will make decisions that shape whether solutions scale, whether delivery approaches are viable and whether proposed outcomes can be achieved. You will work across customer-facing AI use cases including personalisation, customer decisioning, customer service agents, retrieval-augmented generation solutions and agentic workflows.

This is a senior role, but it remains technical. You will need to review architectures, challenge design decisions and engage credibly with experienced engineers and architects. While you may not write every line of code yourself, you will be expected to understand the technical detail well enough to guide delivery teams and ensure solutions are ready for production.

What You Will Do

• Review and challenge solution architectures, covering model selection, retrieval-augmented generation, agentic workflows, evaluation frameworks, guardrails, scalability and cost.


• Identify technical and delivery risks early, including data quality issues, integration complexity, performance bottlenecks and operational readiness concerns.


• Advise senior client stakeholders on how customer AI solutions can create value, what is technically feasible and where risks and trade-offs exist.


• Shape and size customer AI solutions, translating client ambitions into technical requirements, delivery approaches, resource requirements, realistic estimates and risk assessments.


• Assess whether proofs of concept are ready to scale, clearly explaining what has been proven, what has not and what is required before production deployment.


• Ensure solutions create measurable customer and business value, helping teams connect technical decisions to customer experience, growth, efficiency and commercial outcomes.


• Provide technical leadership across multidisciplinary teams of architects, engineers, data scientists and product specialists, helping them navigate complex technical and delivery challenges.


• Establish scalable engineering and delivery practices, including evaluation frameworks, testing approaches, deployment patterns and technical quality standards.


• Build reusable assets, architecture patterns and delivery frameworks that accelerate future customer AI engagements and strengthen the AI & Modelling Craft.


• Represent Accenture Song in client engagements, proposals and market-facing conversations, while developing the technical capability of the teams around you.

What’s In It For You

Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:

• 30 days of leave per year plus 3 extra volunteering days for charitable work of your choice.


• Family-friendly and flexible work policies.


• Attractive pension plan with financial wellbeing support and resources.


• Private healthcare insurance plan and Mental Wellbeing support.


• Employee Assistance Programme, Career Development and Counselling.


• A range of generous Parental Leave offerings.

What We Are Looking For

Core Requirements

• Production AI and agentic delivery. A proven track record of taking generative AI and agentic solutions from proof of concept into production, including retrieval-augmented generation, LLM-powered applications, agentic workflows or multimodal systems. You understand architecture, evaluation, guardrails, cost, latency, scalability, monitoring and operational support, and can identify where a proposed solution is likely to fail.


• AI and data science breadth. Strong understanding of traditional AI, machine learning and data science alongside generative AI. You can assess whether a customer problem is best addressed through predictive modelling, optimisation, decisioning, generative AI, agentic AI or a combination of approaches.


• Customer AI expertise. Experience applying AI to customer growth, personalisation, marketing, commerce, sales or service challenges. You can connect technical decisions to measurable customer and business outcomes and engage confidently with both technical and business stakeholders.


• Engineering and platform foundations. Strong understanding of software engineering, API and system integration, cloud platforms, CI/CD and production monitoring. Your Python capability is sufficient to read, review and challenge code, and you can engage credibly with senior engineers and architects.


• Technical delivery leadership. Experience leading multidisciplinary teams of engineers, data scientists, architects and product specialists. You have shaped technical direction, raised delivery quality, resolved complex delivery challenges and taken accountability for successful outcomes across significant AI programmes.


• Solution shaping and estimation. Experience translating ambiguous client ambitions into viable technical approaches, delivery plans, resource requirements and realistic estimates. You can assess feasibility, identify dependencies and risks, and distinguish what a proof of concept demonstrates from what is required for production.


• Senior client advisory. Experience advising senior leaders and C-suite stakeholders on AI strategy, feasibility, risk, value and delivery. You can translate technical complexity into clear business decisions without losing accuracy and challenge assumptions constructively when the technical reality does not support them.


• Responsible AI and governance. Strong understanding of AI safety, evaluation, fairness, privacy, security, explainability and human oversight, and how these considerations must be embedded into enterprise AI delivery.

Nice to Have

• Consulting and commercial experience. Experience delivering across multiple client engagements and contributing to proposals, business cases, commercial estimates, account growth or the identification of follow-on opportunities.

Locations

London

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