Customer AI Engineer

WeAreTechWomen

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

7 days ago
Be an early applicant
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

25 days leave per year
3 volunteering days
Family-friendly policies
Private healthcare
Pension plan
Employee assistance programme

Job summary

Accenture Song is seeking a Customer AI Engineer in London or Manchester to design, build and deploy AI-powered customer solutions across the full delivery lifecycle. You will work in a multidisciplinary team comprising data scientists, architects and client stakeholders to solve growth challenges with responsible, production-ready AI.

The role emphasizes hands-on engineering, experimentation, and clear communication of AI value to clients, with opportunities to advance in a global,

Qualifications

  • Experience applying AI to customer, marketing, commerce or service challenges.
  • Experience with NLP, computer vision or multimodal AI models.
  • Knowledge of Responsible AI, guardrails and safety practices in production environments.
  • Familiarity with Snowflake, Databricks or similar data platforms.
  • Consulting or client-facing delivery experience.
  • Bachelor’s or Master’s degree in CS/DS/Engineering.

Responsibilities

  • Design, build and deploy AI-powered tools end to end, from problem definition through live service and iteration.
  • Develop generative AI solutions using prompt and context engineering, coding, retrieval-augmented generation, fine-tuning and evaluation techniques.
  • Implement and optimise agentic AI workflows and multi-step reasoning pipelines, integrating with enterprise systems and data sources.
  • Build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production.
  • Break complex problems into smaller, testable components while balancing speed, security and maintainability.
  • Run experiments to test new approaches and apply learnings to the solutions being built.
  • Translate business problems into AI solutions with measurable value, and communicate technical concepts to stakeholders.
  • Document patterns and build reusable assets and best practices across the AI & Modelling Craft.
  • Contribute to capability building and knowledge sharing across the Song AI & Data practice

Skills

Machine learning
Generative AI
Agentic AI
Prompt engineering
Client-facing

Education

Bachelor’s or Master’s degree in CS/DS/Engineering

Tools

Snowflake
Databricks
Python
ML frameworks (TensorFlow/PyTorch)

Job description

Job Description
Job Role: Customer AI Engineer
Team: Song AI & Data - AI & Modelling Craft, UK&I
Location: London / Manchester
Career Level: Consultant (L9)
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

As a Customer AI Engineer, you will design, build and deploy machine learning, generative AI and agentic AI solutions that help our clients better understand, serve and grow their customers. This is a hands‑on engineering role where you will work across the full delivery lifecycle, from understanding the business problem and shaping the solution through to deployment, monitoring and continuous improvement.

Your work could include building a retrieval‑augmented generation solution that helps customer service agents access the right information, developing an agentic workflow that automates campaign planning and optimisation, productionising recommendation and personalisation models, or creating customer intelligence solutions that power segmentation, propensity, next‑best‑action and decisioning capabilities.

You will work in multidisciplinary teams alongside data scientists, architects, engineers and client stakeholders. The problems you work on will often be ambiguous at the outset, requiring you to test assumptions, experiment quickly and iterate towards solutions that are scalable, reliable and ready for production.

This role requires strong technical curiosity and a builder mindset. You will be expected to stay current with developments in machine learning, generative AI and agentic systems, while applying sound engineering principles to create solutions that are secure, maintainable and effective in real‑world environments.

You will also work directly with clients, helping them understand how AI solutions work, what value they can create and the practical considerations involved in deploying them successfully. Whether building a personalisation model, deploying a customer service agent or creating a new customer decisioning capability, your focus will be on delivering measurable customer and business outcomes.

What You Will Do
  • Design, build and deploy AI‑powered tools, services and applications end to end, from problem definition through to live service and iteration.
  • Develop generative AI solutions using prompt and context engineering, coding, retrieval‑augmented generation, fine‑tuning and applying evaluation techniques.
  • Implement and optimise agentic AI workflows and multi‑step reasoning pipelines, integrating them with enterprise systems and data sources.
  • Build, train, evaluate and deploy machine learning models, and define the approach for running and monitoring them in production.
  • Break complex problems into smaller, testable components, and balance speed of experimentation with security, robustness and maintainability.
  • Run experiments to test new approaches and techniques, and apply what you learn to the solutions you are building.
  • Translate business problems into AI solutions with clear and measurable value, and communicate technical concepts to client stakeholders and non‑technical audiences.
  • Document patterns and build reusable assets and best practices that can be applied across the AI & Modelling Craft.
  • Contribute to capability building and knowledge sharing across the Song AI & Data practice
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:

  • 25 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.

#LI-EU

SNGCR01

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organisations build their digital core, optimise their operations, accelerate revenue growth and enhance citizen services, creating tangible value at speed and scale. We are a talent‑ and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Preferred:
  • Experience applying AI to customer, marketing, commerce, sales or service challenges.
  • Experience with natural language processing, computer vision or multimodal AI models.
  • Knowledge of Responsible AI, guardrails and safety practices in production environments.
  • Familiarity with Snowflake, Databricks or similar data platforms.
  • Consulting or client‑facing delivery experience.
  • A bachelor’s or master’s degree in computer science, data science, engineering or a related field.
Locations

London

Additional Information
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.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well‑being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognised as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com .

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

AI & Agentic Technical Delivery Lead (Customer)
AI & Agentic Technical Delivery Lead (Customer)

WeAreTechWomen • Greater London

On-site
GBP 90,000 - 130,000
30 days leave + volunteering days
Family-friendly policies
Pension plan
+1
AI & Agentic Technical Delivery Lead (Customer)
AI & Agentic Technical Delivery Lead (Customer)

Accenture UK • Greater London

Hybrid
GBP 85,000 - 140,000
Leave allowance
Volunteer days
Private healthcare
+4
AI Delivery Tech Lead (CL8)
AI Delivery Tech Lead (CL8)

WeAreTechWomen • Greater London

On-site
GBP 110,000 - 150,000
25 days leave per year
Private healthcare
Pension plan
+1
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

WeAreTechWomen • Greater London

Hybrid
GBP 60,000 - 100,000
World-class training programs
Career development opportunities
Inclusive workplace culture
Customer AI Developer Specialist
Customer AI Developer Specialist

Accenture UK & Ireland • Greater London

Hybrid
GBP 90,000 - 120,000
25 days leave per year
Private healthcare insurance
Mental wellbeing support
+2
AI Delivery Tech Lead, Song Service
AI Delivery Tech Lead, Song Service

ACCENTURE • Greater London

Hybrid
GBP 120,000 - 160,000
30 days of leave
Flexible work policies
Pension plan
+3
Agentic Commerce Senior Manager- Consumer Goods and Retail
Agentic Commerce Senior Manager- Consumer Goods and Retail

ACCENTURE • Greater London

On-site
GBP 120,000 - 180,000
Annual bonus
Equity opportunities
Private healthcare
Agentic Commerce Architect
Agentic Commerce Architect

ACCENTURE • Greater London

On-site
GBP 120,000 - 160,000
Up to 30 days leave + volunteering
Flexible work policies
Private healthcare
+3
AI Delivery Tech Lead (CL8)
AI Delivery Tech Lead (CL8)

Accenture UK & Ireland • Greater London

Hybrid
GBP 110,000 - 150,000
25 days leave
Private healthcare
Pension plan
+1
AI Delivery Tech Lead (CL8)
AI Delivery Tech Lead (CL8)

Accenture • Greater London

Hybrid
GBP 110,000 - 160,000
25 days leave
Private healthcare
Pension plan
+2