Technical Architect - Artificial Intelligence in Ahmedabad, भारत

Role summary : We are hiring a Technical Architect to design and lead production-grade AI and agentic systems for regulated industries, with a primary focus on healthcare and a secondary focus on fintech. You will own end-to-end architecture for our internal platforms and act as the senior technical voice in client engagements. The role is moderately hands-on : you will build proofs of concept, review code, and guide engineering teams, without direct https://jobeax.com/link/lz7NsBlv7hXwNOUy responsibilities : Architecture and system design : - Define target-state architecture for AI-enabled platforms, including current-state assessment, target state and migration plan.- Design scalable, resilient distributed systems : microservices, event-driven patterns, APIs, data pipelines and caching.- Make and document build-vs-buy, technology and trade-off decisions through architecture decision records.- Keep designs cloud-agnostic and portable across AWS, Azure and https://jobeax.com/link/jdDUUKLUDBZ26UEZ and agentic systems : - Architect agentic workflows and multi-agent systems, including orchestration, tool use, memory and state management.- Design retrieval-augmented generation (RAG) pipelines over structured and unstructured data.- Build guardrails into every agent : scope limits, output validation, hallucination checks, fallback paths and human-in-the-loop review for high-risk actions.- Set up evaluation, observability and cost/latency monitoring for LLM-based systems in production.- Select and evaluate LLMs, agentic frameworks and vector stores against business and compliance https://jobeax.com/link/v55Hsp2EYl7yWZJx, privacy and compliance : - Embed privacy-by-design into data flows : data minimization in prompts and agent payloads, encryption, access control and audit trails.- Partner with Security, Compliance and Legal to meet regulatory requirements in healthcare and financial services.- Contribute to compliance documentation and https://jobeax.com/link/3R6d2IgMAiTnZmXP and stakeholder engagement : - Lead technical discovery and solution workshops with clients.- Translate business and regulatory needs into technical designs, estimates and delivery roadmaps.- Present architecture and trade-offs clearly to executives and engineers alike.- Support pre-sales with solution proposals and technical https://jobeax.com/link/KGVPUuqL2YWtoN68 leadership : - Build proofs of concept to validate architecture choices before full delivery.- Review code and designs to enforce standards for quality, security and performance.- Mentor engineers and tech leads; raise the team's AI engineering https://jobeax.com/link/ZfDheg2ko3Qz0tZN qualifications : - 10+ years of overall experience in software engineering and architecture.- 8+ years of hands-on core development in one or more languages such as Python, Java, C#/.NET, Go or TypeScript/Node.js.- 3+ years designing and delivering AI/ML solutions, including LLM-based applications and AI architecture.- Production experience with at least one agentic framework, including multi-agent orchestration, tool/function calling and agent memory. Systems must have run in production with real users, not only prototypes.- Strong system design skills : distributed systems, microservices, event-driven architecture, API design, scalability, fault tolerance and observability.- Working knowledge of RAG, embeddings and vector databases, prompt engineering and LLM evaluation methods.- Experience with containers, Kubernetes, CI/CD and infrastructure as code on at least one major cloud.- Professional experience in the healthcare or fintech domain (see Domain expertise).- Bachelor's degree in Computer Science, Engineering or a related field, or equivalent https://jobeax.com/link/8LIwTbAdBKgyb03n expertise : Candidates must have worked in healthcare or fintech. Healthcare experience is preferred; fintech candidates with strong regulated-domain experience are https://jobeax.com/link/8Kap2cQC5XYPEju4 (preferred) : - Designing HIPAA-compliant architectures, including PHI handling, de-identification, consent and audit logging.- Interoperability standards such as FHIR (R4), HL7 v2 and CDA, and integration with EHR/EMR systems.- Healthcare authentication patterns such as SMART on FHIR, OAuth 2.0 and SAML.- Familiarity with clinical, payer or provider workflows (claims, prior authorization, care management, clinical documentation).- Awareness of frameworks such as HITRUST and SOC 2, and of regulations on AI in clinical https://jobeax.com/link/ray5UqdQK3EwFhIA : - Designing PCI DSS-compliant systems, including scope reduction, tokenization and encryption of sensitive data.- Knowledge of the payments or lending lifecycle : authorization, settlement, reconciliation, disputes and idempotency.- Guardrails for AI agents that touch money movement, such as deterministic handoffs and human approval for financial actions.- Awareness of KYC/AML, GDPR, SOC 2, model risk management and AI regulations such as the EU AI https://jobeax.com/link/Ba7gS9Lz5TvHvpge qualifications and soft skills : Nice to have : - Experience with agent interoperability standards such as Model Context Protocol (MCP) or agent-to-agent protocols.- MLOps/LLMOps experience : model deployment, versioning, monitoring and prompt management.- Experience with responsible AI practices : bias testing, explainability and AI governance frameworks.- Cloud architecture certification (AWS, Azure or GCP).- Experience in consulting or client-facing delivery, including estimation and fixed-scope https://jobeax.com/link/lLFjiA8J6OthzNCI skills : - Clear written and verbal communication, from executive summaries to detailed technical specs.- Sound judgment in high-stakes, cross-functional discussions with Security, Compliance and Legal.- Comfort with ambiguity and the ability to turn vague requirements into concrete designs.- A mentoring mindset and the ability to lead through influence rather than authority. (ref:hirist.tech)