AI Architect

Salary: £40,000 - 55,000 per year Requirements: • Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space. • Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability. • Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.). • Ability to design enterprise-level AI/Gen AI platform/solutions with the client’s existing enterprise stack. • Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph). • Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. • Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. • Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow). • Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). • Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). • Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. • Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. • Strong articulation, stakeholder management, and consulting skills. Experience working on client proposals – RFI/RFP/Orals stages. • Experience leading a team of AI/software engineers. Responsibilities: • Client Engagement: Partner with sales leaders to qualify opportunities, shape proposals, and build compelling business cases. Act as a trusted advisor to clients during discovery sessions, workshops, and bid processes. • Solution Design: Translate client needs into fit-for-purpose Data & AI solutions, leveraging modern cloud platforms (Azure/AWS, with GCP/Oracle as a plus). Design AI interventions for application support, monitoring, and business operations. • Technical Leadership: Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools. • Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape. • Collaboration: Work closely with cross-functional teams—including data science, engineering, and business stakeholders—to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering. • Innovation: Contribute to overall account strategy, ensuring technical solutions align with business priorities. Drive productivity and cost optimizations. Technologies: • AI • AWS • Architect • Azure • Cloud • Docker • GCP • Support • Kubeflow • Kubernetes • Oracle • PyTorch • Python • TensorFlow • Network • Security More: At TCS, we are a purpose-led transformation company dedicated to making a meaningful difference for our clients and the communities they serve. Our stature as a top employer is underscored by our competitive salary packages, extensive training resources, and a commitment to health and wellness initiatives. As we embark on exciting projects, we invite you to join our dynamic team, where innovation is at the forefront and diversity is embraced. This position for an Artificial Intelligence Architect offers an opportunity to shape the future of AI in enterprise environments. last updated 32 week of 2026