Roles & Responsibilities:

- Lead the pre-sales and technical discovery sessions with enterprise and mid-market clients globally - understand their pain points, data maturity, and AI readiness before anyone writes a line of code.

- 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.

- Navigate ambiguous problem spaces and help clients articulate what they actually want to solve with AI.

- Build long-term client relationships that translate into deepened engagements, referrals, and expanded mandates.

- Be deeply involved in deployment - not just design. Understand production constraints, integration complexity, and change management realities.

- 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: you own outcomes, not just deliverables.

- Define AI architecture patterns for the firm: LLM orchestration, RAG pipelines, agentic workflows, multi-modal systems.

- Stay ahead on applied AI research and emerging frameworks; bring relevant signals back to the team.

- Mentor junior AI engineers and consultants on both client engagement craft and solution architecture rigour.

- Contribute to Anthrobyte's knowledge capital - case studies, whitepapers, internal playbooks, and reusable solution accelerators.

- Develop the whole tech department and create pod structures for projects.

Ideal Candidate:

- Strong AI Forward Deployed Lead/Architect Profile owning the full journey from client discovery to production.

- 7+ years of experience, with hands-on production AI/ML work (LLMs, NLP, computer vision or advanced analytics).

- Deeply hands-on: build SLMs, agentic structures, RAG pipelines, LLM orchestration and multi-modal systems.

- 4+ years client-facing as a trusted AI advisor to CXOs/VPs of Operations/IT leaders, with a proven presales/solution-consulting track record.

- Experience in running workshops, AI readiness assessments, and value-stream-mapping sessions.

- Designed and deployed end-to-end AI systems (ingestion, pipelines, deployment, monitoring, iteration).

- Built and led teams, creating a pod structure per project, and mentored junior AI engineers.

- Hands-on with Python, LLM frameworks (LangChain/LlamaIndex/HuggingFace) and cloud AI (AWS/Azure/GCP).

- Strong storytelling, making complex AI accessible to business audiences.

- Experience across both services and product.

- Strong pedigree, ideally IIT, then BITS/NITs/IIITs, with a CSE/IT background.

- Global client exposure (US/Europe/Middle East/SEA) and cross-cultural fluency.

- First 2 to 3 months on a consultant basis to assess fit, then converts to a full-time role.