Technical Architect - Gen-AI Adoption (LLM-focused)
- Idexcel
- 10 - 15 years
- Bengaluru
- 2 months ago
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Job Description
Job Summary:
We are seeking an innovative and technically hands-on Technical Architect to lead the design and implementation of Generative AI (GenAI) solutions using Large Language Models (LLMs) such as Claude, ChatGPT, and open-source models (e.g., LLaMA, Mistral). A key aspect of the role will be to integrate agentic capabilities, enabling autonomous and goal-driven AI systems to handle complex enterprise workflows.
Key Responsibilities:
- Architect & implement GenAI solutions using LLMs (hosted and open-source) to solve real business problems across domains such as customer support, marketing, HR, legal, and R&D.
- Collaborate with stakeholders to identify use cases, design proof-of-concepts (PoCs), and scale successful pilots into production-grade systems.
- Define the end-to-end architecture, including data pipelines, prompt engineering, retrieval-augmented generation (RAG), model fine-tuning, and deployment strategies.
- Evaluate and integrate APIs from platforms such as OpenAI (ChatGPT), Anthropic (Claude), Google Vertex AI, Amazon Bedrock, and other model hubs.
- Lead the development of multi-agent systems for complex workflows involving planning, reasoning, and tool use.
- Design agent-based architectures using frameworks like LangGraph, AutoGen, CrewAI, or custom orchestrators where LLMs collaborate with tools, APIs, or other agents to accomplish tasks autonomously.
- Ensure GenAI solutions are aligned with enterprise security, compliance, and responsible AI principles.
- Analyze the current application and its architecture to design an enterprise platform for GEN AI based integrated or shared services.
- Understand various compliance criteria (SOC 1, SOC 2, PCI-DSS, ISO-27001) to design/architect GEN AI based solutions.
- Lead development teams in implementing architectural blueprints and mentor engineers in GenAI best practices.
- Stay current on the GenAI landscape and continuously assess emerging tools, frameworks, model capabilities and planning agents(e.g., LangChain, LlamaIndex, vector databases).
- Support hybrid LLM deployments using cloud-native and on-premise infrastructure (e.g., SageMaker, Azure ML, Databricks, Kubernetes).
Required Skills & Experience:
- 10+ years of experience in software architecture with at least 2+ years in designing and deploying AI/ML or NLP solutions.
- Hands-on experience with LLMs (e.g., ChatGPT, Claude, LLaMA, GPT-4, Gemini), including prompt engineering, fine-tuning, or RAG architectures.
- Strong experience in designing and implementing agentic systems where LLMs operate autonomously or in structured workflows (e.g., using LangChain Agents, LangGraph, AutoGen, CrewAI).
- Proficient with modern AI development frameworks: LangChain, Transformers, Hugging Face, Vector DBs (e.g., Pinecone, FAISS, Weaviate).
- Cloud platform experience: AWS, Azure, or GCP; familiarity with Amazon Bedrock, Azure OpenAI, or Google Generative AI Studio.
- Experience in containerization, orchestration (e.g., Docker, Kubernetes) and MLOps practices.
- Strong understanding of data privacy, model governance, and ethical AI considerations in enterprise settings.
- Excellent communication and leadership skills with a track record of guiding cross-functional teams.
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: IdexcelLocation(s): Bengaluru
Keyskills: Gen-AI Azure CrewAI LLaMA Claude Azure OpenAI Technical Architecture software architecture LangGraph AutoGen ChatGPT AWS Amazon Bedrock
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