AI FDE - Enterprise Solutions

Posted 5 Days Ago
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Hyderabad, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Enterprise Web • Software
The Role
Lead end-to-end enterprise AI engagements for supply chain clients, from presales discovery and solution design through development, deployment, go-live, and post-deployment success. Advise executives, run workshops, scope use cases, design AI architectures, present proposals and demos, collaborate with engineering and data science teams, debug production systems, mentor teams, and develop reusable AI thought leadership and accelerators.
Summary Generated by Built In

We are looking for a True AI Forward Deployed Engineer (as coined by Palantir!) preferably with Supply Chain Domain Expertise. We are not looking for someone to run AI experiments. We are looking for someone to take AI all the way — from first conversation with a client to a system that runs in production and creates real business value. A 

— 01 · THE OPPORTUNITY

AI leadership role.

Anthrobyte builds production-grade enterprise AI systems for global clients across Supply Chains & Enterprise Solutions. As we scale, we need an AI leader with Supply Chain Domain expertise who can hold the full journey: presales and discovery, solution design, consulting, and end-to-end development & deployment — all as one coherent capability.

This is less a traditional technical role and more a seat at the client table. You will work directly with the CTO, founding team, and enterprise clients to define how AI is scoped, architected, communicated, and delivered inside complex organisations. You will be the person who walks into a room with a messy problem and walks out with a solution the client believes in — and then makes it real.


FOUNDING ROLE

AI Lead / Supply Chain Expertise

Own the full AI engagement journey in Supply Chain — presales, solution design, consulting, and forward deployment — as one coherent capability.

GROWTH TRACK · MERIT-BASED

Principal AI & Solutions Lead

Grow into executive-level technical leadership — shaping company strategy, IP development, and client transformation at scale.



Requirements

— 02 · RESPONSIBILITIES

Own the solution. Drive it to production.

Presales & Solution Design

    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

Consulting & Client Engagement

    Act as a trusted AI advisor to client stakeholders — CXOs, VPs of Operations, IT leaders — not just a technical vendor on the call

    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, and why it matters

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

Forward Deployment & Technical Delivery

    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. If something is broken, you fix it

Solution Design & Thought Leadership

    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 before the market does

    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

  The Growth Pathway

Demonstrate consistent excellence and the scope expands. You will grow into principal technical leadership — shaping company strategy, representing AI at investor and board conversations, building and leading a growing solutions team, and defining how AI transformation is delivered across every client engagement. This is not a title — it is a level of ownership that must be earned and continually re-earned.

— 03 · WHO YOU ARE

You operate across the full stack — from model architecture to client boardroom. You simplify complex problems without losing what makes them real, and you're as comfortable presenting to a VP of Supply Chain as you are reviewing a model eval report with a data science team.

You Bring

  • 5+ years of hands-on AI/ML experience (LLMs, NLP, computer vision, or advanced analytics) in production
  • Proven presales or solution consulting track record — you win client confidence with credibility
  • Strong storytelling: complex AI concepts made accessible to business audiences, without dumbing them down
  • Global client exposure (US, Europe, Middle East, or SEA) and cross-cultural fluency
  • Hands-on with Python, LLM frameworks (LangChain, LlamaIndex, HuggingFace), and cloud AI (AWS, Azure, GCP)
  • Experience designing end-to-end AI systems: ingestion, pipelines, deployment, monitoring, and iteration
  • Comfort in ambiguity and 0→1 environments; startup or early-stage experience preferred

Bonus Signals

Supply Chain AI · Forward Deployment · Presales / SE · LLMs & RAG · MLOps · Global Clients · IIT / IIM / Tier-1 · B2B SaaS AI · Manufacturing / Logistics



Benefits
As per company norms

Skills Required

  • 5+ years of hands-on production AI/ML experience, including LLMs, NLP, computer vision, or advanced analytics
  • Proven presales or solution consulting experience
  • Strong storytelling and ability to explain complex AI concepts to business audiences
  • Global client exposure and cross-cultural fluency
  • Hands-on experience with Python, LangChain, LlamaIndex, Hugging Face, and cloud AI platforms such as AWS, Azure, or GCP
  • Experience designing and delivering end-to-end AI systems, including ingestion, pipelines, deployment, monitoring, and iteration
  • Comfort working in ambiguous, zero-to-one environments
  • Supply chain domain expertise
  • Startup or early-stage company experience
  • Experience with supply chain AI, forward deployment, presales or sales engineering, LLMs and RAG, MLOps, global clients, B2B SaaS AI, manufacturing, or logistics
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The Company
17 Employees
Year Founded: 2025

What We Do

Anthrobyte develops structured intelligence and modular AI agents for complex supply-chain and enterprise operations. Its solutions support procurement, supplier-risk detection, pricing, inventory and product-identity management, regulatory compliance, and bills-of-materials workflows. The company integrates decision architecture, governance, stakeholder alignment, modular deployment, and human-centered adoption to help organizations turn AI into a trusted, scalable influence layer across complex systems.

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