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

Job description

About the Role

Were looking for a hands-on Solution Architect who can bridge technology and business to design scalable AI / ML solutions for our enterprise clients. Youll work closely with sales engineering and data science teams to shape solutions that bring GenAI ML and data engineering to life across industries like tech finance and healthcare.

Key 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 Innodatas 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.

Job requirements

Technical & Required Skills

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.

Preferred Skills and Experience

Experience with enterprise AI implementations or model evaluation / red-teaming.

Cloud or ML certifications (GCP AWS Azure).

Minimum Education Requirements

Bachelors degree or higher in Computer Science Artificial Intelligence Machine Learning Linguistics Localization or a related field.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment banking details or sensitive personal information during the application process. To learn more on how to recognize job scams please visit the Federal Trade Commissions guide at you believe youve been targeted by a recruitment scam please report it to Innodata at and consider reporting it to the FTC at .

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Key Skills

Business Process,VMware,Cloud,HTML5,Windows,Project managements,AWS,Infrastructure,Web Services,JQuery,Java,Computer Engineering,Solutions design,Technical Solutions,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1