AI/ML Engineer

Founded in 2007, Initiate Government Solutions (IGS) is a Woman-Owned Small Business and a fully remote IT services provider supporting federal partners nationwide. We deliver innovative Enterprise IT and Health Services solutions with a strong focus on data analytics, health informatics, cloud migration, AI, and the modernization of federal information systems.

Our vision is to be a health IT trendsetter, continuing to solve the nation’s most challenging healthcare IT issues by conceiving, designing, and building solid, creative, and innovative open-source solutions.

Our mission is to innovate, design, and deliver tailored solutions that balance technical advancement with cost-awareness while providing exceptional service.

IGS is currently recruiting a remote AI/ML Engineer to support our work with a federal customer.

Assignment of Work and Travel

This is a remote access assignment. The Candidate will work remotely daily and will remotely access customer systems and therein use approved customer provided communications systems. Travel is not required; however, the candidate may be required to attend onsite client meetings as requested.

The AI/ML Engineer will play a critical role in designing, deploying, scaling, and supporting production-grade AI/ML solutions within a secure and governed Azure cloud environment. This position will help enable predictive analytics, Natural Language Processing (NLP), generative AI capabilities, and advanced model development supporting improved healthcare outcomes and operational efficiencies for Veterans, their families, and caregivers.

Responsibilities and Duties (Included but not limited to)

Design, implement, and maintain scalable AI/ML infrastructure using Azure Machine Learning, Databricks, Azure AI Services, and related cloud technologies. Develop and deploy predictive models, NLP solutions, and generative AI capabilities supporting enterprise business and healthcare use cases. Build reusable AI/ML frameworks, templates, and accelerators for model development, training, validation, deployment, and monitoring. Support AI/ML onboarding and adoption across customer workgroups utilizing shared analytics and AI capabilities. Integrate AI/ML workloads within secure DevSecOps environments using Infrastructure as Code (IaC) and automated security controls. Develop monitoring capabilities for model performance, bias detection, drift monitoring, and operational health management. Ensure AI/ML solutions align with zero-trust architecture and security requirements. Design and deploy generative AI use cases utilizing Large Language Models (LLMs), prompt orchestration, guardrails, content filtering, and human-in-the-loop validation. Implement NLP and text analytics solutions for structured and unstructured data sources, including healthcare and operational datasets. Collaborate with data engineers and analytics teams to operationalize AI-generated insights and integrate AI outputs into business processes. Adhere to customer’s Trustworthy AI principles, privacy requirements, cybersecurity policies, and Risk Management Framework (RMF) controls. Support model governance, documentation, audit readiness, and AI risk assessment activities. Ensure compliance with federal regulations, accessibility standards, and enterprise data governance policies. Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, backlog grooming, and release planning. Other duties as assigned

ATS provider: Paylocity.