Lead AI Engineer: $105/hr

Job Description

Job Description

One of Infonet's premier clients has an opening for a Lead AI Engineer.

RATE: $105/hr 1099/Corp-to-Corp or $97/hr-W2

JOB LENGTH: 12 Months

TERMS : Contract

SCOPE OF WORK

• Lead project execution for production AI services while mentoring engineers and standardizing delivery practices
• The role emphasizes AI Engineering ownership of technical foundations—platform services, MLOps/LLMOps pipelines, deployment patterns, observability, security, and architecture guardrails—so Data Science and business teams can deliver reliable AI/ML and GenAI outcomes in production
• Build and operate Azure-based AI platform components for project-level technical leadership, using Azure ML, Databricks, MLflow, and secure service patterns to make model deployment repeatable and supportable
• Develop CI/CD, model registry, evaluation, prompt/version control, retraining, and release workflows that help teams manage ML models and GenAI systems consistently from experimentation through production
• Package and deploy AI services with Docker, Kubernetes, identity controls, environment configuration, and runtime standards that improve reliability, portability, and operational readiness
• Implement GenAI capabilities using GPT-class models, RAG patterns, embeddings, vector databases, prompt engineering, and agent workflows where they improve reuse, quality, and enterprise scalability
• Improve engineering productivity through reusable templates, code standards, GitHub/Azure DevOps automation, documentation, and tooling that help Data Science and AI teams ship with fewer manual steps
• Create monitoring dashboards and alerts for latency, cost, drift, model quality, hallucination risk, token usage, and service health so production AI systems can be managed with clear operating signals
• Define and apply practical guardrails for security, identity, networking, data access, model serving, and GenAI evaluation so teams can move faster without bypassing enterprise controls
• Own targeted technical projects that expand project-level technical leadership, such as reusable deployment patterns, feature pipelines, evaluation harnesses, vector search services, or cost-optimization improvements
• Work closely with Data Science, IT, Security, and business teams to make platform capabilities usable in real delivery contexts while maintaining clear ownership for engineering foundations and production operations
• Explain architecture decisions, delivery risks, tradeoffs, and production-readiness expectations
• Make platform capabilities usable in real delivery contexts while maintaining clear ownership for engineering foundations and production operations

REQUIRED SKILLS / EXPERIENCE

• Practical engineering depth in Azure ML, Databricks, MLflow, CI/CD, Docker/Kubernetes, and GenAI patterns, combined with clear communication, disciplined delivery, and a strong bias toward reusable enterprise capability rather than one-off prototypes
• Demonstrated experience appropriate to lead scope with production AI/ML or GenAI systems, including the ability to move beyond prototypes into reliable, monitored, and maintainable services
• Hands-on experience with Azure infrastructure patterns, including Azure ML, Databricks, Azure DevOps, identity, networking, secrets, compute, and deployment environments
• Experience with MLflow, Azure ML pipelines, model registries, feature pipelines, deployment approvals, monitoring, retraining, and model lifecycle management
• Experience managing GenAI systems through prompt/version control, RAG evaluation, embeddings, vector database operations, token/cost monitoring, safety testing, and quality measurement
• Understanding of scalable service design, asynchronous processing, failure modes, observability, and performance tuning for production AI workloads
• Knowledge of enterprise authentication, authorization, data protection, secure model serving, network boundaries, and compliance-aware deployment practices
• Strong Python engineering skills with modern development practices, including testing, code review, Git workflows, packaging, APIs, Docker, and CI/CD automation

PREFERRED EDUCATION

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience building production-grade AI systems

TRAVEL REQUIREMENT

• Some – occasionally required to walk to the dock and ascend/descend the vessel
• This position may require regular domestic or international travel

 

** No 3rd party vendors ** Unable to sponsor H1-B visas **

\nCompany Description

Infonet is an Information Technology staffing firm based in South Florida. The company was founded over 20 years ago by IT Hiring Managers and Software/Hardware Engineers.
What distinguishes Infonet is our passion to serve you. We take your job search seriously, not ourselves.

Company Description

Infonet is an Information Technology staffing firm based in South Florida. The company was founded over 20 years ago by IT Hiring Managers and Software/Hardware Engineers.\r\nWhat distinguishes Infonet is our passion to serve you. We take your job search seriously, not ourselves.