Talan
AI Architect / Engineer (Agentic AI & LLM Architecture)
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AI Architect / Engineer (Agentic AI & LLM Architecture)
Senior AI Architect / Engineer – Talan Data x AI
Company Description
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with top software vendors and industry experts across various sectors. We help businesses unlock the value and insights hidden in their data through innovative processes and cutting-edge technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).
Job Description
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority, shaping the design and delivery of next-generation AI solutions. This role is for someone who understands moving beyond individual model building to architecting entire systems, including:
- Agentic platforms
- LLM-powered applications
- Production infrastructure for enterprise-scale reliability
You’ll sit at the intersection of strategy and delivery, managing multiple client engagements simultaneously. In the early phases, you’ll shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you’ll ensure technical oversight to keep delivery teams aligned with the original design intent. Your influence will be evident in pre-sales conversations, solution blueprints, and the technical standards defining our practice’s delivery.
This is a hands-on architectural role—not a purely advisory one. You’ll need to maintain a strong connection to code, prototype where necessary to accelerate decisions, and set a credible technical example for the engineers and data scientists you guide.
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Key Responsibilities
- Lead end-to-end solution architecture for AI and LLM-based systems, covering data, integration, infrastructure, and deployment.
- Design agentic architectures and multi-agent orchestration patterns, ensuring reliable interactions between LLMs, tools, APIs, and retrieval layers.
- Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales), transforming client ambition into deliverable technical plans.
- Provide technical validation and quality oversight across multiple concurrent projects, mitigating risk early in the process.
- Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.
- Establish MLOps and LLMOps practices to ensure solutions are ** observable, testable, and production-ready**.
- Define architectural standards, reusable patterns, and reference implementations to raise the quality bar across the practice.
- Partner with Responsible AI colleagues to embed safety, security, and governance from the outset of solution designs.
Qualifications & Experience
Essential Requirements:
- Minimum 5 years in AI architecture or AI engineering, preferably 10+, with a proven track record in production deployments.
- Deep expertise in:
- LLMs
- Agent frameworks (e.g., LangGraph, AutoGen, Semantic Kernel)
- API design and orchestration
- Strong cloud engineering experience.
- Proven MLOps / LLMOps capability (CI/CD for models, monitoring, evaluation, and cost optimisation).
- Hands-on software engineering background in Python and modern tooling, supporting architectural decisions.
- Comfort managing multiple engagements at once, with prudent trade-off judgement and delivery risk assessment.
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Desirable (but Not Essential):
- Experience in consulting, professional services, or pre-sales environments.
- Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).
- Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.
- Relevant cloud or AI certifications.
Eligibility & Work Preferences:
- Willingness to work on client sites for extended periods.
- Ability to travel frequently and stay away from home for extended durations.
- Eligible to work in the UK without restriction.
Compensation & Benefits
- BDP Plus: Earn points for a 3-month paid sabbatical or cash equivalent.
- 25 days holiday + bank holidays.
- 5 days holiday buy/sell option.
- Private medical insurance.
- Life cover.
- Cycle-to-work scheme.
- Company pension (5% employer contribution, salary sacrifice available).
- Employee assistance programme.
- Bespoke online learning via Udemy for Business.
Why Join Us?
You’ll be a founding technical voice in a practice investing decisively in AI, tackling commercially significant, varied, and intellectually demanding work. You’ll shape solutions that reach production—not just slideware.
- Autonomy to define how we build.
- Collaborative multidisciplinary team support.
- Platform to grow into a practice-leading technical figure.
Contract type: Permanent. #TalanUK #LI-HB1
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