Responsible AI Solutions Architect

WeAreTechWomen; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading technology firm is seeking a Responsible AI Solutions Architect to drive responsible AI practices in their AI systems. The successful candidate will have a degree in Computer Science or related fields, with strong skills in AI and machine learning algorithms, cloud platforms, and programming languages like Python. The role involves developing frameworks, integrating responsible design approaches, and ensuring audit compliance for AI systems. A competitive salary and extensive benefits package are offered.

Benefits

25 days vacation per year

Private medical insurance

3 extra days leave for charitable work

Qualifications

• Experience in operating AI systems with Responsible AI background.
• Architectural experience with cloud platforms and AI services.
• Strong programming skills in Python, R, or Java.

Responsibilities

• Develop capability frameworks for AI systems.
• Work with teams to integrate responsible design approaches.
• Create methodologies for audit and assurance of AI systems.

Skills

AI and machine learning algorithms

Cloud platforms (e.g., AWS, Azure)

Python programming

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science

Tools

TensorFlow

PyTorch

Hadoop

Spark

Job description

Job Title: Responsible AI Solutions Architect

Location: London

Salary: Competitive Salary + Package (dependent on experience)

Career Level: Associate Manager or Specialist

Travel: May be required for this role. The amount of travel will vary depending on business need and client requirements.

You are:

We are seeking experts in architecting AI systems with a Responsible AI background, with a passion for being practical, hands‑on, designing and operationalizing responsible by design systems.

As a Responsible AI technical solutions architect, you’ll be experienced in building state‑of‑the‑art systems to solve difficult business challenges. You’ll have experience specifying, designing and testing for functional and non‑functional requirements of AI systems that translate governance goals and objectives into technical design parameters to address responsible AI aspects such as AI model Fairness, Transparency, Explainability, Robustness, Soundness and Privacy – preferably in a client‑facing environment.

You’ll bring diverse expertise in architecture, software development and data engineering with specialization in RAI, including how to develop technical approaches to AI governance for different classes of AI, and how the responsible AI technical response needs to adapt to ML, Gen AI LLM models and services, agentic systems.

You’ll be an outstanding technical specialist with strong communication skills needed to liaise with clients and colleagues.

The work:

• Developing capability frameworks, reference designs, architecture patterns, requirements specifications, blueprints, and guides for designing and architecting AI systems from a responsible AI specialist perspective
• Working with Accenture AI and data teams, as well as partners, to embed/integrate responsible design approaches into the overall development lifecycle, workflow, technical stack, service/product model and platform/application design and delivery
• Decomposing and translating governance concepts and requirements spanning regulatory/legal requirements, organizational policy, standards and controls into technical controls embedded within the SDLC, data and AI lifecycle
• Developing best practices and architectural guidelines for AI model development, testing, deployment and monitoring; including helping define, build and roll out our internal Responsible AI tools and assets
• Creating methodologies and controls to support audit and assurance of AI systems to identify and mitigate issues such as biases, ensuring fairness and transparency
• Creating test patterns, frameworks and testing processes for testing of AI systems; developing test harnesses for red teaming, adversarial testing and evaluation of multi‑modal AI systems
• Spearheading Responsible AI related technology thought leadership and PoV, staying abreast of emerging technologies
• Providing technical leadership and mentorship to AI development teams, and development and delivery of Responsible AI technical training
• Facilitating communication between technical and non‑technical stakeholders regarding AI projects and their impact
• Leading the evaluation of third‑party Responsible AI tools and frameworks
• Supporting client sales conversations and proposal preparation

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields
• Architectural experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services
• Hands‑on experience with models and services provided by Google, Open AI, Anthropic etc, and the eval/assurance/testing approaches they provide
• Experience with 3rd party GRC tooling and products such as Service Now and OneTrust
• Proficiency in AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch)
• Experience in developing and deploying machine learning models and AI solutions; at least 2 from the following: Statistics and Probability, Regression Modelling, Clustering Methods, Neural Networks, Deep Learning, Time Series Forecasting
• Demonstrable applications of the above models including natural language processing, text mining, computer vision, image recognition, machine learning visualization and interpretability
• Strong programming skills in languages such as Python, R, or Java
• Experience with big data technologies (e.g., Hadoop, Spark) and database management systems
• Specific technology domain experience in at least one of: software development, cloud computing, systems engineering, data & analytics
• Knowledge of ethical AI principles, data privacy laws and regulatory requirements
• Knowledge of existing and emerging standards for AI safety and assurance (e.g. UK Government standards, ISO, IEEE, NIST)
• Proven track record in leading, scaling and delivering complex AI projects
• Experience in implementing AI solutions in large‑scale, enterprise environments
• Strong leadership and team management skills
• Excellent problem‑solving and analytical abilities
• Effective communication skills, capable of conveying complex AI concepts to diverse audiences
• Commitment to ethical AI practices and continuous learning
• Ability to work under pressure and manage multiple projects simultaneously

Bonus Points If You Have:

• Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields
• Certifications in AI, machine learning or related fields
• Experience with Data & AI in specific domains (e.g., healthcare, finance, retail)
• Familiarity with AI model explainability and interpretability tools
• Understanding of MLOps, LLMOps and DevOps practices, including CI/CD pipelines for AI systems
• Containerization capabilities such as Docker and Kubernetes
• Linguistic proficiency (to a reasonable business level) in a language other than English

What’s in it for you:

In addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice.

Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first‑class services we are known for.

Equal Employment Opportunity Statement:

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law.

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.

Closing Date for Applications: 28/02/26

Accenture reserves the right to close the role prior to this date should a suitable applicant be found.