Remote AI Tech Lead

Insight Global; Atlanta (GA); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) after 90 days

Paid time off

Job summary

Insight Global is seeking a Senior AI Developer / Technical Lead to guide end-to-end AI/ML and public health analytics initiatives. You will translate objectives into architectures, lead diverse teams, and ensure secure, compliant, scalable solutions across cloud services.

The role emphasizes leadership, collaboration with clients and product stakeholders, and advancing reproducible, maintainable AI workflows in a regulated environment.

Qualifications

• Degree in computer science, data science, artificial intelligence, engineering, information systems, statistics, or a related technical field is required.
• Demonstrated senior-level experience designing and developing AI or machine learning solutions using Python and modern AI/ML frameworks, with the ability to produce, review, and troubleshoot production-quality code.
• Minimum of 3+ years’ experience architecting and deploying AI applications in cloud environments, integrating models with enterprise data sources and APIs, and applying software engineering, DevSecOps, MLOps, testing, monitoring, and documentation practices.
• Minimum of 5+ years experience leading technical development team(s). This can be purely in a software dev lifecycle (dev-test-prod) – doesn’t need lead experience in AI
• Great communication skills.
• Must be able to work in matrixed environment.
• Experience in data engineering, software development, or related roles.
• Proven ability to lead multidisciplinary technical teams and communicate complex AI concepts, architecture decisions, risks, and recommendations to technical and non-technical stakeholders in public health, healthcare, government, or other regulated environments.

Responsibilities

• Lead end-to-end planning, architecture, development, testing, deployment, and delivery of complex AI, machine learning, generative AI, and public health analytics solutions, ensuring scope, schedule, budget, security, performance, and quality objectives are met.
• Translate client, user, and program objectives into technical requirements, AI solution architectures, product roadmaps, work plans, milestones, and deliverables aligned with federal standards, responsible AI principles, and stakeholder expectations.
• Provide hands-on technical leadership to multidisciplinary teams of AI developers, machine learning engineers, data engineers, data scientists, biostatisticians, and epidemiologists, fostering collaboration, accountability, code quality, and high performance.
• Serve as the primary technical point of contact for clients and stakeholders, communicating AI capabilities, limitations, tradeoffs, delivery status, and risks while facilitating timely technical and product decisions.
• Design and develop production-ready AI solutions, including machine learning models, generative AI applications, retrieval-augmented generation workflows, intelligent agents, APIs, and reusable software components using modern development frameworks and cloud services.
• Establish and oversee software engineering and MLOps practices, including version control, peer review, automated testing, CI/CD, model evaluation, monitoring, performance optimization, documentation, and secure deployment across development, test, and production environments.
• Evaluate emerging AI technologies and select appropriate models, frameworks, platforms, and integration patterns based on solution requirements, cost, scalability, security, explainability, and operational sustainability.
• Implement responsible AI, privacy, security, and data governance controls throughout the solution lifecycle; identify technical risks and dependencies; and mentor developers through architecture reviews, coding standards, troubleshooting, and knowledge sharing.

Skills

Python

AI/ML frameworks

Cloud environments

Lead teams

Communication

DevSecOps

MLOps

Public health analytics

Education

Bachelor's degree in CS/DS/AI/Engineering/IS/Statistics

Tools

Azure AI services

Databricks

Snowflake

Job description

Job Description

The Senior AI Developer / Technical Lead will lead the design, development, deployment, and delivery of complex artificial intelligence, machine learning, generative AI, and public health analytics solutions. This role combines hands‑on technical leadership with end‑to‑end project oversight, translating program objectives into scalable AI architectures and actionable delivery plans. The position is responsible for guiding multidisciplinary teams, establishing secure and responsible AI development practices, managing technical risks, and ensuring high‑quality, compliant solutions. The successful candidate will serve as a primary liaison between clients, product stakeholders, and technical teams while driving innovation, reproducibility, maintainability, and continuous improvement across AI and analytics workflows.

Key Responsibilities

• Lead end‑to‑end planning, architecture, development, testing, deployment, and delivery of complex AI, machine learning, generative AI, and public health analytics solutions, ensuring scope, schedule, budget, security, performance, and quality objectives are met.
• Translate client, user, and program objectives into technical requirements, AI solution architectures, product roadmaps, work plans, milestones, and deliverables aligned with federal standards, responsible AI principles, and stakeholder expectations.
• Provide hands‑on technical leadership to multidisciplinary teams of AI developers, machine learning engineers, data engineers, data scientists, biostatisticians, and epidemiologists, fostering collaboration, accountability, code quality, and high performance.
• Serve as the primary technical point of contact for clients and stakeholders, communicating AI capabilities, limitations, tradeoffs, delivery status, and risks while facilitating timely technical and product decisions.
• Design and develop production‑ready AI solutions, including machine learning models, generative AI applications, retrieval‑augmented generation workflows, intelligent agents, APIs, and reusable software components using modern development frameworks and cloud services.
• Establish and oversee software engineering and MLOps practices, including version control, peer review, automated testing, CI/CD, model evaluation, monitoring, performance optimization, documentation, and secure deployment across development, test, and production environments.
• Evaluate emerging AI technologies and select appropriate models, frameworks, platforms, and integration patterns based on solution requirements, cost, scalability, security, explainability, and operational sustainability.
• Implement responsible AI, privacy, security, and data governance controls throughout the solution lifecycle; identify technical risks and dependencies; and mentor developers through architecture reviews, coding standards, troubleshooting, and knowledge sharing.

40-80h

Exact compensation may vary based on several factors, including skills, experience, and education.

Skills and Requirements

What You Will Need:

• Degree in computer science, data science, artificial intelligence, engineering, information systems, statistics, or a related technical field is required.
• Demonstrated senior‑level experience designing and developing AI or machine learning solutions using Python and modern AI/ML frameworks, with the ability to produce, review, and troubleshoot production‑quality code.
• Minimum of 3+ years’ experience architecting and deploying AI applications in cloud environments, integrating models with enterprise data sources and APIs, and applying software engineering, DevSecOps, MLOps, testing, monitoring, and documentation practices.
• Minimum of 5+ years experience leading technical development team(s). This can be purely in a software dev lifecycle (dev‑test‑prod) – doesn’t need lead experience in AI
• Great communication skills.
• Must be able to work in matrixed environment.
• Experience in data engineering, software development, or related roles.
• Proven ability to lead multidisciplinary technical teams and communicate complex AI concepts, architecture decisions, risks, and recommendations to technical and non‑technical stakeholders in public health, healthcare, government, or other regulated environments.

What Would Be Nice To Have:

• Experience supporting federal programs and/or data modernization projects.
• Experience delivering generative AI solutions using large language models (LLMs), retrieval‑augmented generation, prompt engineering, vector databases, semantic search, AI agents, and model evaluation techniques.
• Experience with Azure AI services or comparable cloud AI platforms, containerization and orchestration, infrastructure automation, data pipelines, and federal security and compliance frameworks; familiarity with responsible AI, explainability, bias assessment, human‑in‑the‑loop review, and model risk management is strongly preferred.
• Experience with Databricks, Snowflake, and other data processing or analytic technologies

Benefits

Employees in this role will enjoy a comprehensive benefits package starting on day one ofemployment, including options for medical, dental, and vision insurance.

• Eligibility to enroll inthe 401(k) retirement plan begins after 90 days of employment
• Paid sick leave and other paid time off benefits as required under theapplicable law of the worksite location

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].