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ChatGPT Jobs · 2 days ago

Solution Architect - ML Engineering (Pre-Sales, Enterprise AI)

New Jersey, United States

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

Innodata, Inc. is seeking a hands-on Solution Architect who can bridge technology and business to design scalable AI/ML solutions for enterprise clients. The role involves collaborating with sales, engineering, and data science teams to develop end-to-end AI/ML solutions, ensuring technical feasibility and delivering proposals that showcase the company's capabilities.

Computer Software

Responsibilities

Partner with sales teams to understand client goals and design end-to-end AI/ML, agentic solutions - from data pipelines to model deployment and MLOps

Lead technical discussions and workshops with client teams to shape architecture, scope, and success metrics

Build proposals, architecture diagrams, and PoC plans that showcase Innodata's GenAI and ML capabilities

Collaborate with delivery and offshore teams to ensure technical feasibility and smooth handoff

Develop reusable solution playbooks and demo frameworks for repeatable use cases like RAG, LLM evaluation, and model fine-tuning

Qualification

ML engineeringAI solutioningCloud AI stacksLLMsMLOps frameworksPrompt engineeringCuriosity for GenAICloud certificationsCommunicationCollaborative mindset

Required

8+ years in ML engineering, data science, or AI solutioning - with 3+ years in pre-sales or client-facing roles

Deep knowledge of LLMs, RAG, prompt engineering, and orchestration tools (LangChain, LlamaIndex, etc.)

Experience in building end to end Genai copilot or Agents for enterprise such as knowledge bot, smart search, copilots for application or dashboards, agentic workflow automation using MCP/A2A and required tech stack

Experience with cloud AI stacks (GCP Vertex AI, AWS SageMaker, Azure AI Studio) and MLOps frameworks

Strong communication and whiteboarding skills - able to simplify complex AI concepts for non-technical stakeholders

A collaborative mindset and curiosity to explore new GenAI use cases

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Linguistics, Localization or a related field