{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Senior AI Engineer”, “description”: “
Company
PA Consulting
London, United Kingdom
Job Description
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
What You Can Expect
- Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects.
- Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.
- Hybrid working with the team on client site or in our office a minimum of two days per week. The actual time you spend and where you spend it will vary by role or assignment, including up to five days per week on a client site.
- Work on a broad variety of projects and tech stacks for clients across seven sectors.
- Join other experts within a supportive and collaborative tech community through knowledge sharing, peer support, coaching and mentoring.
- Deepen your expertise through a culture of learning and growth with budget for courses (technical and non-technical) and certifications.
- Explore generative AI frameworks and tools and build prototypes with retrieval-augmented generation (RAG) and knowledge graphs.
- Develop and test agentic architectures, using our Genie Platform to enable AI agents that reason, retrieve, and act across systems.
- Learn about LLMOps, evaluation tools, and model observability platforms.
- Deploy solutions on modern cloud and DevOps environments (AWS, Azure, GCP) with best-fit tooling per problem.
Qualifications
Essential requirements
- Software engineers with a passion for AI, or data scientists who’ve embraced engineering.
- People who experiment, prototype, and explore emerging AI tools in their own time.
- Strong foundation in a language suited to AI system development and data workflows.
- Experience integrating models with APIs, data sources, or production systems.
- Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.
- Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices.
- A collaborative mindset and willingness to share, learn, and teach.
- Understanding of prompt and context engineering and model evaluation.
- Solid grasp of distributed systems, microservices, and RESTful APIs.
- An understanding of LLMOps tools for managing GenAI workflows.
Additional information
- Assessment process: The interview stages may be subject to change based on the requirements of the role.
- Quick call with a Tech Recruiter to discuss your application, the role, and PA.
- Round 1: Competency or technical interview (60 mins).
- Round 2: Competency or technical interview (60 mins).
- Final round: Meeting with a PA leader including a mini case study and discussion around client-centricity (60 mins).
Benefits
- Health and lifestyle perks including private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the option to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity initiatives.
- Annual performance-based bonus.
- PA share ownership and tax-efficient benefits (cycle to work, give as you earn).
EEO and Accommodations
We are committed to advancing equality and recruit, retain, reward and develop our people based on abilities and contributions. Adjustments or accommodations for the recruitment process can be requested by contacting recruitmentenquiries@paconsulting.com.
Job information: Firm: PA Consulting; Location: London, United Kingdom.
#J-18808-Ljbffr”, “datePosted”: “2026-05-09”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Consultancy.uk”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__428048561__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Company: Consultancy.uk
Location: London
Job Description:
Company
PA Consulting
London, United Kingdom
Job Description
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.
What You Can Expect
- Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects.
- Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.
- Hybrid working with the team on client site or in our office a minimum of two days per week. The actual time you spend and where you spend it will vary by role or assignment, including up to five days per week on a client site.
- Work on a broad variety of projects and tech stacks for clients across seven sectors.
- Join other experts within a supportive and collaborative tech community through knowledge sharing, peer support, coaching and mentoring.
- Deepen your expertise through a culture of learning and growth with budget for courses (technical and non-technical) and certifications.
- Explore generative AI frameworks and tools and build prototypes with retrieval-augmented generation (RAG) and knowledge graphs.
- Develop and test agentic architectures, using our Genie Platform to enable AI agents that reason, retrieve, and act across systems.
- Learn about LLMOps, evaluation tools, and model observability platforms.
- Deploy solutions on modern cloud and DevOps environments (AWS, Azure, GCP) with best-fit tooling per problem.
Qualifications
Essential requirements
- Software engineers with a passion for AI, or data scientists who’ve embraced engineering.
- People who experiment, prototype, and explore emerging AI tools in their own time.
- Strong foundation in a language suited to AI system development and data workflows.
- Experience integrating models with APIs, data sources, or production systems.
- Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks.
- Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices.
- A collaborative mindset and willingness to share, learn, and teach.
- Understanding of prompt and context engineering and model evaluation.
- Solid grasp of distributed systems, microservices, and RESTful APIs.
- An understanding of LLMOps tools for managing GenAI workflows.
Additional information
- Assessment process: The interview stages may be subject to change based on the requirements of the role.
- Quick call with a Tech Recruiter to discuss your application, the role, and PA.
- Round 1: Competency or technical interview (60 mins).
- Round 2: Competency or technical interview (60 mins).
- Final round: Meeting with a PA leader including a mini case study and discussion around client-centricity (60 mins).
Benefits
- Health and lifestyle perks including private healthcare for you and your family.
- 25 days annual leave (plus a bonus half day on Christmas Eve) with the option to buy 5 additional days.
- Generous company pension scheme.
- Opportunity to get involved with community and charity initiatives.
- Annual performance-based bonus.
- PA share ownership and tax-efficient benefits (cycle to work, give as you earn).
EEO and Accommodations
We are committed to advancing equality and recruit, retain, reward and develop our people based on abilities and contributions. Adjustments or accommodations for the recruitment process can be requested by contacting recruitmentenquiries@paconsulting.com.
Job information: Firm: PA Consulting; Location: London, United Kingdom.
#J-18808-Ljbffr…
Posted: May 9th, 2026