AI/ML Delivery Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement comprehensive AI/ML and generative AI solutions throughout the entire lifecycle.

• Create scalable, secure, and governed AI/ML architectures tailored for enterprise data management, cloud-native services, distributed computing, and high-performance workloads.

• Develop and launch production-ready solutions for large language models, intelligent search, workflow automation, model evaluation, monitoring, and optimization.

• Integrate enterprise AI and cloud services with data platforms, security controls, governance frameworks, and operational processes.

• Deliver solutions in areas such as natural language processing, computer vision, predictive analytics, intelligent search, multimodal AI, and mission-focused applications.

• Design secure APIs, integration services, data pipelines, and orchestration workflows.

• Act as the AI/ML technical authority for cross-functional technical and business teams.

• Oversee architecture reviews, AI readiness assessments, performance benchmarking, and infrastructure trade-off analysis.

• Establish MLOps, LLMOps, and ModelOps practices for testing, deployment, monitoring, lineage, rollback, and cost optimization.

• Define responsible AI controls covering privacy, IAM, key management, audit logging, PHI/PII handling, explainability, model cards, bias/risk assessment, human oversight, and guardrails.

• Mentor engineers and data scientists.

• Convey complex AI concepts through solution narratives, architecture diagrams, demonstrations, and executive-ready materials.

• Support solutioning by shaping technical approaches, estimating delivery patterns, and contributing to client responses.

• Travel to NIH at the applicant’s expense for onboarding if selected.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional experience.

• Over 5 years of relevant experience.

• Practical experience with enterprise data platforms and cloud-native data architectures.

• Knowledge of distributed data processing, data governance, machine learning lifecycle management, and batch and streaming data pipelines.

• Proven experience in developing, deploying, and supporting AI/ML and generative AI solutions.

• Familiarity with intelligent search, LLM applications, workflow automation, model serving, evaluation, monitoring, and continuous improvement.

• Experience with modern machine learning and deep learning frameworks, libraries, and tools.

• Experience in designing, deploying, and managing AI/ML solutions in one or more major cloud environments.

• Knowledge of cloud-native AI services, identity and access management, networking, security, and infrastructure.

• Experience handling large, complex, sensitive, or regulated datasets.

• Proficiency in data integration, migration, quality management, analytics, visualization, and governance.

• Excellent written and verbal communication skills.

• Must be able to obtain a Tier 3 Public Trust clearance.

• Must be a US Person.

• Currently, no security clearance is required; no clearance is needed beyond the stated Public Trust.

• Travel to NIH at the applicant’s expense for onboarding if selected.

🏝️ Benefits

• Comprehensive benefits and wellness packages.

• 401K with company match.

• Competitive salary.

• Paid time off.

• Flexible work weeks.

• Medical plan options, some including Health Savings Accounts.

• Dental plan options.

• Vision plan options.

• Opportunity to contribute pre-tax and post-tax dollars to 401(k) up to IRS annual limits.

• Vacation, sick, and personal time.

• Paid holidays.

• Paid parental leave.

• Military leave.

• Bereavement leave.

• Jury duty leave.

• 15 days of paid leave per calendar year for new employees, prorated based on the date of hire.

• 10 additional paid holidays per year, prorated based on the date of hire.

• Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.

• Short- and long-term disability benefits.

• Life insurance.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• AI-powered career tool identifying career steps and learning opportunities.

• Internal mobility team supporting career goals.

• Full-flex work week.

• An award-winning culture of innovation.

• Military-friendly workplace.