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# AI Architect - Enterprise Strategy

- **Company:** Kognitiv Inc.
- **Location:** Chelmsford, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Azure Machine Learning, Salesforce.Com, Software Engineering, Large Language Models, Generative AI, Kubernetes, Low-code, Machine Learning Operations, Workday
- **Published:** June 1, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/37867647/

## About the Role

A Proven Builder: You have 6-10 years of experience spanning technical consulting, software engineering, or AI/ML roles, with a track record of deploying real-world GenAI applications.
An Agent Orchestrator: You aren't just hitting an API endpoint. You deeply understand autonomous agent architecture-reasoning, tool-use, and planning.
A Python & Framework Expert: Python is your native language, and you are highly proficient with LangChain, LlamaIndex, AutoGen, or similar frameworks.
Cloud Fluent: You have hands-on experience leveraging AI/ML services across at least one major cloud provider (AWS, Azure, or GCP).
The Ultimate Translator: You have the rare ability to bridge the gap between deep tech and business value, making complex architecture understandable and exciting to non-technical stakeholders.

## Description

Architect & Build the Future: You will lead the hands-on technical execution of AI engagements. You'll transform strategic vision into production-grade autonomous agent systems, architecting complex workflows using the latest LLMs, vector databases, and orchestration frameworks.
Shape Client AI Strategies: You will serve as the trusted technical advisor to executive stakeholders. You'll facilitate workshops that cut through the AI hype, helping clients identify high-value use cases, navigate data readiness, and map out scalable MLOps roadmaps.
Govern & Scale Responsibly: Enterprise AI demands bulletproof reliability. You will implement cutting-edge MLOps best practices, focusing on observability, rigorous testing, and QA to mitigate bias and hallucinations, ensuring AI outputs are safe, ethical, and value-driven.
Integrate & Innovate: You'll deploy sophisticated models within major enterprise ecosystems (AWS Bedrock, Azure OpenAI) and seamlessly weave them into core business platforms like Salesforce and Workday.
Push the Boundaries: The AI landscape changes daily. You will spend time in the lab, testing new builder tools, frameworks, and low-code/no-code platforms (like Flowise) to keep our firm and our clients ahead of the curve.


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