AI Solutions Lead: Production GenAI & MLOps

Virtusa; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

Virtusa AI Labs is seeking AI Solution Development Engineers who design, build, and operationalize next-generation AI applications that deliver measurable business impact. This role blends deep technical engineering, applied machine learning, and solution development to help enterprise clients move from AI experimentation to large-scale adoption.

You will work with data, product, and cloud experts to bring cutting-edge AI research into production, building GenAI apps, LLM fine-tuning, and

Responsibilities

• Collaborate with client and internal teams to design and implement end-to-end AI solutions using RAG, LLM fine-tuning, multi-agent workflows, and modern model integration patterns.
• Develop and customize LLMs using PEFT methods (LoRA, QLoRA, adapters) and work with MoE-based architectures where applicable.
• Own the full AI lifecycle — from data ingestion and preparation through model training, evaluation, and production deployment.
• Apply MLOps, LLMOps, and FMOps principles to automate workflows, manage versions, and ensure robust deployments.
• Engineer data pipelines, APIs, and orchestration layers to integrate AI solutions with enterprise systems.
• Ensure solutions are secure, scalable, and compliant with client IT and governance policies.
• Build automated evaluation loops for model quality, bias detection, and performance monitoring.
• Quantify ROI and business value post-deployment and feed learnings back into reusable frameworks and blueprints.
• Embed transparency, explainability, audit trails, and data-lineage tracking in every solution.
• Partner with client risk and compliance teams to ensure adherence to Responsible AI principles.

Job description

Virtusa AI Labs is seeking AI Solution Development Engineers who design, build, and operationalize next-generation AI applications that deliver measurable business impact. This role blends deep technical engineering, applied machine learning, and solution development to help enterprise clients move from AI experimentation to large-scale adoption.

You will work with data, product, and cloud experts to bring cutting-edge AI research into production, building GenAI apps, LLM fine-tuning, and