AI Architect - GenAI/Agentic Systems in Noida, भारत

Roles & Responsibilities : Shape demand and executive conviction : - Lead discovery and architecture workshops with client business and technology leadership; set the agenda rather than respond to it.- Identify pain points, value levers, and high-impact AI opportunities, and sequence them into a pragmatic AI roadmap.- Translate ambiguous, complex client questions into solution hypotheses, target-state architecture, and a phased path to get there.- Build AI scenarios and value frameworks that illustrate meaningful business transformation, with measurable outcomes and a defensible business https://jobeax.com/link/8ZbqDeVrh5d9XOmN the architecture : - Own end-to-end architecture : LLM and model-portfolio selection, context engineering, retrieval and knowledge architecture, agent orchestration, microservices, integrations, data platform touchpoints, and UI.- Set the non-functional bar and design to it - latency, throughput, unit cost per interaction, accuracy/eval thresholds, observability, safety, security, data residency, and auditability.- Define reference architectures, agentic blueprints, and accelerator standards for the practice.- Make and document build-vs-buy and platform decisions, including model routing, fine-tuning vs prompting vs retrieval, and open vs proprietary model https://jobeax.com/link/8HtnjdvtLa1iSzt1 it : - Build prototypes, storyboards, demos, accelerators, and reusable agentic blueprints.- Engineer and validate AI agents for reliability, reasoning, safety, and performance; establish the evaluation and red-teaming approach.- Lead PoCs, pilots, and phase-0 MVPs across industries, arbitrating scope so the proof lands inside the sales https://jobeax.com/link/DG02JvWbZwQHsAIv and hand over : - Author and quality-gate client-ready content : architecture decks, SoWs, proposals, estimates, value frameworks, risk and assumption registers, and demo storylines.- Lead technical deep-dives, security and architecture reviews, and competitive differentiation discussions.- Refine solution narratives based on client feedback and market conditions.- Oversee a seamless transition from sales to https://jobeax.com/link/WtTH5uaQbKeiUV9a the practice : - Create thought leadership and reusable IP; represent the firm externally at client forums, partner events, and in published material.- Mentor AI Leads and engineering teams; grow the bench of people who can do this role.- Collaborate with hyperscalers and product partners to craft next-generation AI-led experiences and co-funded initiatives.Must-have skills and experience : Architecture and platform depth : - Proven track record architecting and shipping production-grade GenAI/agentic systems in enterprise environments.- Deep command of LLM selection and evaluation, context engineering, model routing and cost control, and the trade-offs between prompting, retrieval, tool use, and fine-tuning.- Strong microservices and integration architecture : event-driven and API-led patterns, identity and access, secrets, multi-tenancy, and integration with core enterprise systems.- Enterprise concerns as first-class design inputs : security, privacy, data residency, model governance, responsible AI, and regulatory https://jobeax.com/link/5HUFxgmYs93J9f1r AI engineering (hands-on) : - Hands-on working knowledge of defining and configuring prompts, instructions, tools, reasoning strategies, guardrails, memory, and orchestration in AI agent development.- Design and debugging of multi-agent and long-horizon workflows, including failure modes, recovery, and human-in-the-loop control points.- Strong experience with RAG pipelines, vector databases, tokenization, and prompt https://jobeax.com/link/hWX4m1dRsx9avcM6 craft (hands-on) : - Hands-on experience creating and maintaining Python libraries; working command of LangChain, Hugging Face, OpenAI/Anthropic APIs, and locally hosted open models.- Very strong experience developing RESTful APIs in Python with FastAPI and integrating third-party services, UI components, and APIs.- Hands-on Docker-based deployment, CI/CD, and disciplined use of Git/GitHub for source control and review.- Working knowledge of modern data platforms and their GenAI surfaces (Databricks, Snowflake Cortex, lakehouse patterns).Model provider and hyperscaler GenAI platform know-how : - Broad, current understanding of the GenAI offerings across the major frontier-model providers and hyperscalers, with deep, hands-on mastery of at least one.- Able to construct and defend a multi-provider model strategy : capability-to-task mapping, model routing and tiering, benchmark and eval evidence, context-window and latency envelopes, unit economics, rate limits and capacity planning.- Fluent in the enterprise decision criteria : data residency and sovereignty, tenant isolation, IP and training-data commitments, certifications and auditability.- Designs for portability where it matters : provider-abstracted interfaces, gateway/routing layers, and prompt and eval assets that survive a model or vendor https://jobeax.com/link/bsMUjAr5GEG4tl5l and commercial ability : - Demonstrated ability to turn ambiguous business problems into crisp AI use cases with clear value hypotheses and measurable outcomes.- Excellent communication and articulation skills; credible with a CIO/CDO and with a client's principal engineer.- Commercial fluency : estimation, deal shaping, pricing implications of architecture choices.- Hands-on prototyping https://jobeax.com/link/CLMVJl1tDiL8xDqU to have : - Prior experience in a pre-sales, consulting, solution-architecture, or forward-deployed engineering capacity at scale.- Recognised depth in one or more industry domains (BFSI, healthcare/life sciences, retail/CPG, manufacturing, telecom, energy).- Experience running partner-funded or co-innovation programmes with a hyperscaler or model provider.- Certification on a hyperscaler AI/ML or architect track.- Experience with self-hosted / open-weight model deployment (vLLM, Bedrock or Vertex custom endpoints, on-prem GPU).- Published thought leadership, patents, open-source contributions, or conference speaking on GenAI/agentic systems. (ref:hirist.tech)