Senior AI Developer – Technical Lead

Guidehouse

. Lead end-to-end planning, architecture, development, testing, deployment, and delivery of complex AI, machine learning, generative AI, and public health analytics solutions .

Posted 10/26/2026full-timeRemote • Texas • United StatesSenior💰 $118,000 - $196,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the architecture, development, and deployment of AI and machine learning solutions, with a strong focus on public health analytics. Proficient in managing multidisciplinary teams and communicating complex technical concepts to diverse stakeholders while ensuring compliance with federal security and governance standards.

Highest-signal resume keywords

AI Solution ArchitectureMachine Learning DevelopmentPython ProgrammingCloud AI DeploymentMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI SolutionsMachine LearningData EngineeringSoftware DevelopmentGenerative AIModel EvaluationAPIsVersion ControlAutomated TestingPerformance Optimization

Soft Skills

Technical LeadershipCommunicationMentoringCollaborationProblem-Solving

Tools & Technologies

Azure AI ServicesDatabricksSnowflakeContainerizationOrchestrationInfrastructure AutomationData PipelinesCI/CDSecure DeploymentMonitoring

Certifications & Qualifications

Federal or DHS Public Trust

Industry Keywords

Public HealthHealthcareGovernmentRegulated EnvironmentsResponsible AIData GovernanceCompliance FrameworksBias AssessmentHuman-in-the-Loop ReviewModel Risk Management

Tech Stack

Tools & technologies

AzureCloudPythonSnowflake

About the role

Key responsibilities & impact

Lead end-to-end planning, architecture, development, testing, deployment, and delivery of complex AI, machine learning, generative AI, and public health analytics solutions
Translate client, user, and program objectives into technical requirements, AI solution architectures, product roadmaps, work plans, milestones, and deliverables
Provide hands-on technical leadership to multidisciplinary AI, machine learning, data engineering, data science, biostatistics, and epidemiology teams
Serve as the primary technical point of contact for clients and stakeholders
Communicate AI capabilities, limitations, tradeoffs, delivery status, and risks
Design and develop production-ready machine learning models, generative AI applications, retrieval-augmented generation workflows, intelligent agents, APIs, and reusable software components
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
Evaluate emerging AI technologies and select models, frameworks, platforms, and integration patterns
Implement responsible AI, privacy, security, and data governance controls
Identify technical risks and dependencies
Mentor developers through architecture reviews, coding standards, troubleshooting, and knowledge sharing
Drive innovation, reproducibility, maintainability, and continuous improvement across AI and analytics workflows

Requirements

What you’ll need

U.S. Citizenship OR Green Card is contractually required
Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"
Bachelor's degree
Minimum of FIVE (5) years of professional experience
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
Demonstrated senior-level experience designing and developing AI or machine learning solutions using Python and modern AI/ML frameworks
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)
Ability to work in matrixed environment
Experience delivering generative AI solutions using 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 strongly preferred
Experience with Databricks, Snowflake, and other data processing or analytic technologies

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
Flexible benefits package
Flexible work arrangements