Forward Deployed Engineer (AI/GenAI)

JPS Tech Solutions; United States; Remote; USD 130,000 - 210,000; Full time

Job summary

JPS Tech Solutions Pvt Ltd is seeking experienced Forward Deployed Engineers with deep expertise in Generative AI, LLMs, and Azure AI Foundry. You will develop AI-powered solutions for clients, translating business needs into practical deployments and leading cross-functional teams.

Ideal candidates have 2+ years building GenAI/LLM solutions, strong coding skills, and experience with API/microservice integration in hybrid onshore/offshore setups. Remote work is available in the United States.

Qualifications

• Bachelor's degree or equivalent experience in CS/DS/Engineering.
• 3+ years in Software/Data/Engineering roles.
• 2+ years building GenAI/LLM solutions.

Responsibilities

• Develop and deploy GenAI/LLM solutions in client environments.
• Lead project workstreams and translate business requirements into AI solutions.
• Build scalable AI solutions using Microsoft AI & Data and Azure AI Foundry.
• Integrate LLM solutions via APIs, microservices, and event-driven architectures.
• Implement MLOps/LLMOps practices including evaluation and monitoring.
• Collaborate with client technical teams and business stakeholders.
• Follow security, privacy, and compliance best practices.
• Work effectively with hybrid onshore/offshore teams.

Skills

GenAI/LLM deployment

Client stakeholder collaboration

MLOps/LLMOps

APIs/microservices

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent

Tools

Microsoft AI & Data

Azure AI Foundry

Python

Spark

Airflow

dbt

Job description

Job Summary

We are seeking experienced Forward Deployed Engineers with strong expertise in Generative AI, LLMs, Microsoft AI & Data, and Azure AI Foundry. The role involves developing and deploying AI-powered solutions in client environments and translating business requirements into practical AI solutions.

Key Responsibilities

• Develop and deploy GenAI/LLM solutions in client environments.
• Lead project workstreams and translate business requirements into technical AI solutions.
• Build scalable AI solutions using Microsoft AI & Data and Azure AI Foundry.
• Integrate LLM solutions through APIs, microservices, and event-driven architectures.
• Implement MLOps/LLMOps practices, including model evaluation, monitoring, and prompt management.
• Collaborate with client technical teams and business stakeholders.
• Follow security, privacy, and compliance best practices.
• Work effectively with hybrid onshore/offshore teams.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent experience.
• 3+ years of experience in Software Engineering, Data Engineering, or Data Science.
• 2+ years of hands-on experience building and deploying GenAI/LLM solutions.
• Strong experience with Microsoft AI & Data and Azure AI Foundry.
• Strong coding skills with clean, maintainable, and well-documented code.
• Experience leading project workstreams and working with client stakeholders.

Preferred Qualifications

• Experience with AWS, Azure, or GCP.
• Knowledge of Python, Spark, Airflow, dbt, and ML/Data Engineering.
• Experience with MLOps/LLMOps, model evaluation, monitoring, and prompt management.
• Experience integrating AI solutions using APIs, microservices, and event-driven architectures.
• Experience with security, privacy, and compliance practices.
• Experience working with hybrid onshore/offshore teams.

Work Location

Remote