Position : Founding AI Forward Deployment Engineer / ArchitectOverall/Total Experience : 7 - 10 yearsLocation : HyderabadWorking Days : 5 Days from OfficeNotice Period Requirement : 60 Days (Maximum)Client's Company Size : Startup/Small Enterprise- Mandatory Face to Face Interview at Hyderabad OfficeRoles & Responsibilities : - Lead the pre-sales and technical discovery sessions with enterprise and mid-market clients globally.- Own the solution design for AI proposals : use case scoping, high-level system design, data requirements, and ROI framing.- Build and present compelling PoC demos, solution blueprints, and technical proposals in partnership with the commercial team.- Respond to RFPs and RFIs with technically rigorous and commercially sharp responses that win confidence.- Act as a trusted AI advisor to client stakeholders - CXOs, VPs of Operations, IT leaders.- Run workshops, AI readiness assessments, and value stream mapping sessions at client sites and remotely.- Build long-term client relationships that translate into deepened engagements, referrals, and expanded mandates.- Collaborate with engineering and data science teams to ensure solution designs are buildable and delivered to the quality clients expect.- Drive go-live milestones, client acceptance, and post-deployment success metrics with accountability.- Debug, iterate,



and adapt.- Define AI architecture patterns for the firm : LLM orchestration, RAG pipelines, agentic workflows, multi-modal systems.- Develop the whole tech department.Candidate Requirements : - Must have 7+ years of experience, with hands-on production AI/ML work (LLMs, NLP, computer vision or advanced analytics).- Must be deeply hands-on, able to build SLMs, agentic structures, RAG pipelines, LLM orchestration and multi-modal systems, and get into cost/credit optimisation detail, not just high-level oversight.- Must have 4+ years client-facing as a trusted AI advisor to CXOs/VPs of Operations/IT leaders, with a proven presales/solution-consulting track record.- Must have designed and deployed end-to-end AI systems (ingestion, pipelines, deployment, monitoring, iteration), owning production constraints, integration, change management, go-live, client acceptance and post-deployment success, owning outcomes.- Must have built and led their own team, creating a pod structure per project, and mentored junior AI engineers and consultants.- Must be hands-on with Python, LLM frameworks (LangChain/LlamaIndex/HuggingFace) and cloud AI (AWS/Azure/GCP).- Must have robust pedigree, ideally IIT, then BITS/NITs/IIITs, with a CSE/IT background. (ref:hirist.tech)

📌 Founding AI Forward Deployment Engineer/Architect (Hyderabad)
🏢 Laksh Consultants
📍 Hyderabad