AI Technical Architect

🕒 4 days ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔙 Backend Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Exavalu

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🛡️ Insurance

Consulting • Healthcare • Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Design Multi-Agentic AI architectures using agents, supervisors, planners, routers, and orchestration frameworks • Build AI solutions using Python, LangChain, LangGraph, CrewAI, and LLM APIs • Design RAG solutions, including embeddings, vector search, retrieval, and prompt optimization • Integrate AI agents with enterprise applications, APIs, databases, and tools • Design scalable cloud-native AI solutions using microservices, Docker, and Kubernetes • Establish AI security, governance, observability, evaluation, and LLMOps/MLOps practices • Lead POCs, architecture reviews, and technical decisions • Mentor AI engineering teams • Implement enterprise AI solutions from POC through production

🎯 Requirements

• 12+ years of overall technology experience • Strong hands-on experience with Generative AI and Multi-Agentic AI • Advanced Python programming • Strong hands-on experience with LangChain and LangGraph • Experience with CrewAI or similar agent frameworks • Strong knowledge of LLMs, RAG, embeddings, vector databases, prompt engineering, and tool/function calling • Experience with APIs, microservices, and enterprise integrations • Experience with Azure, AWS, or GCP • Strong understanding of AI security, Responsible AI, governance, and guardrails • Preferred: MCP and agent interoperability • Preferred: Hugging Face / open-source LLMs • Preferred: LangSmith, Langfuse, MLflow, or OpenTelemetry • Preferred: Docker/Kubernetes and LLMOps/MLOps • Preferred: Semantic Kernel, AutoGen, or similar frameworks • Preferred: Knowledge graphs/graph databases • Preferred: Experience building enterprise AI platforms or AI Centers of Excellence

🏖️ Benefits

• Flexibility adapting to the needs of employees, customers, and the business • Part-time work options • Working outside normal 9-5 business hours • Remote work • Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons • Diverse and inclusive workforce • Career growth opportunities