Lead AI/ML Engineer (Platform Modernization)

TEK Systems; United States; On-site; USD 133,000 - 200,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Life Insurance

Disability insurance

HSA (Health Savings Account)

Transportation benefits

Employee Assistance Program

Paid time off

Job summary

TEKsystems is seeking a Lead AI Engineer to guide AI initiatives on Google Cloud Platform. The role requires expert Python and ML experience, leadership, and the ability to mentor engineers and data scientists. You will coordinate with SMEs, drive MLOps on Vertex AI, and ensure robust, scalable cloud solutions.

You will oversee end-to-end GCP project lifecycles, collaborating with architects and stakeholders to align AI efforts with enterprise standards and business objectives.

Qualifications

• Expert-level Python and ML libraries experience.
• Experience architecting and deploying production-grade ML systems.
• Strong GCP AI/ML architecture knowledge and SME coordination.

Responsibilities

• Design and lead development of advanced ML models on GCP.
• Provide technical leadership and mentorship to AI/ML engineers and data scientists.
• Oversee end-to-end GCP project lifecycles from ingestion to deployment and monitoring.

Skills

Python

Machine Learning

GCP

Leadership

Mentorship

SDLC

Data Engineering

Tools

Vertex AI

BigQuery

Cloud Storage

GKE

Job description

Overview

We are looking for a highly experienced Lead AI Engineer with expert-level proficiency in Python, machine learning, and Google Cloud Platform (GCP) to guide our AI initiatives and mentor a talented engineering team. While this is not a dedicated enterprise architect position, you will participate in architecture reviews and coordinate closely with Subject Matter Experts (SMEs) to get cloud AI solutions reviewed, ensuring robust GCP-native deployments, MLOps best practices, and high engineering standards across all projects.

Responsibilities

Key Responsibilities

• Design and lead the development of advanced machine learning models and AI systems built on Google Cloud Platform (GCP), actively participating in architecture reviews and collaborating with SMEs to refine technical designs.


• Provide technical leadership and mentorship to a team of AI/ML engineers and data scientists.


• Oversee end-to-end GCP project lifecycles: from big data ingestion and preprocessing using BigQuery, through Vertex AI/ GEAP model training and validation, to production deployment and monitoring.


• Collaborate with enterprise architects, SMEs, product managers, and business stakeholders to align AI development with enterprise standards and translate business objectives into scalable GCP technical solutions.


• Design and implement robust MLOps workflows on GCP using Vertex AI/GEAP Pipelines, Vertex Model Registry, and automated CI/CD practices.


• Establish and enforce best practices for coding, model validation, versioning, and reproducibility.


• Review code, provide constructive feedback, and ensure high-quality deliverables.


• Stay abreast of the latest research and advancements in AI/ML, and drive the adoption of new technologies and methodologies.


• Present technical concepts and project progress to both technical and non-technical audiences.

Qualifications

Required Skills & Qualifications

• 5+ years of experience in SDLC experience along with AI/ML engineering, with at least 2 years in a technical leadership or lead role.


• Expert-level Python programming skills and deep familiarity with ML libraries (NumPy, pandas, scikit-learn, TensorFlow, LangChain, PyTorch, etc.).


• Demonstrated experience architecting and deploying production-grade machine learning systems.


• Strong understanding of data engineering, feature engineering, and big data tools.


• Strong practical knowledge of GCP AI/ML architecture and services (Vertex AI, BigQuery, Cloud Storage, GKE), with experience participating in technical architecture reviews and coordinating solution sign-offs with SMEs.


• Proven track record of building and managing MLOps pipelines on GCP, utilizing Vertex AI Pipelines and Model Registry for enterprise AI deployments.


• Excellent communication, leadership, and team management skills.


• Experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication architectures.


• Strong expertise in setting up telemetry, logging, and observability frameworks for distributed AI and ML systems.


• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice to Have

• Experience with NLP, computer vision, or generative AI models.


• Familiarity with CI/CD pipelines and infrastructure automation for ML projects.


• Knowledge of Agentic frameworks, and some experience building agents from scratch for enterprise use cases.


• Contributions to open-source AI/ML projects or published research.

GCP Professional Machine Learning Certification

***Posting Close Date: 10/25/2026***

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification.

• US Salary range:$133,100-$199,700 Potential bonus up to: $25,000

Compensation will be determined based on a variety of factors which may include, but are not limited to, education, experience, skills, and geographic location. As an internal Allegis Employee exploring roles within TEKsystems Global Services, hiring eligibility and maintaining existing ancillary benefits are subject to change with transfer from one role to another. Please reach out to Talent Mobility for specific questions: [e-mail].

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision


• Critical Illness, Accident, and Hospital


• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available


• Life Insurance (Voluntary Life & AD&D for the employee and dependents)


• Short and long-term disability


• Health Spending Account (HSA)


• Transportation benefits


• Employee Assistance Program


• Time Off/Leave (PTO, Vacation or Sick Leave)


• https://www.teksystems.com/en/careers/benefits