AI/ML Engineer

Woolpert

. Provide hands-on engineering and customer-facing project delivery for the Digital Innovations market.

Posted 10/6/2026full-timeUnited StatesSeniorLead💰 $118,200 - $147,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML technologies and Google Cloud Platform, with a focus on delivering customer-facing solutions and technical leadership. Proficient in developing and implementing end-to-end AI/ML strategies aligned with client goals and utilizing core GCP services.

Highest-signal resume keywords

AI/ML TechnologiesGoogle Cloud PlatformGemini Enterprise SolutionsPython ProgrammingAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML TechnologiesGemini Enterprise SolutionsPython ProgrammingNodeJS/ES6TensorFlowVertex AIBigQueryCloud StorageDataflowSDLC

Soft Skills

Communication SkillsCollaboration Skills

Tools & Technologies

GitJira

Certifications & Qualifications

Google Cloud Platform Professional Certifications

Industry Keywords

Digital InnovationsProfessional ServicesEnterprise SolutionsSecurity and IAM Tools

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformNode.jsPythonSDLCTensorflow

About the role

Key responsibilities & impact

Provide hands-on engineering and customer-facing project delivery for the Digital Innovations market.
Research and implement evolving Google AI/ML technologies, frameworks, tools, and approaches, including Gemini Enterprise.
Provide technical leadership for the project team.
Collaborate during discovery activities, develop technical solutions, perform hands-on delivery, testing, and user training.
Work with client engineering teams, product owners, solutions architects, and back-end/front-end developers to drive successful project delivery.
Perform client and project discovery to understand business and technical requirements, success metrics, and solution architecture.
Advise clients by translating business challenges into actionable AI/ML solutions.
Develop AI/ML roadmaps and strategies aligned with client goals and Google Cloud AI and data capabilities.
Design and implement end-to-end AI/ML solutions on Google Cloud Platform, including data ingestion, feature engineering, model training, deployment, and monitoring.
Establish repeatable processes and best practices in a professional services organization.

Requirements

What you’ll need

8+ years of experience in customer facing consulting role.
Proven experience with AI/ML technologies and applications.
Proven experience in utilizing the Gemini family of models, spanning from integration and customization of Gemini Enterprise solutions to hands-on development and fine-tuning of custom Gemini models.
Hands-on experience with core GCP services relevant to AI/ML, such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
Demonstrated proficiency in at least one programming or scripting language, such as Python or NodeJS/ES6, and associated AI/ML libraries and frameworks.
Solid understanding of SDLC and Agile software development methodologies and tools, such as Git and Jira.
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to technical and non-technical audiences.
Google Cloud Platform professional certifications are preferred.
Professional services experience designing and delivering large enterprise solutions is preferred.
Knowledge of security and IAM tools and principles is preferred.
Must already possess work authorization in the United States; visa sponsorship is unavailable.

Benefits

Comp & perks

Freedom to Work program: Set your own schedule and location (as appropriate).
Principal program: Earn the opportunity to become an owner of the firm.
Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
Career development: Explore a wide range of learning and growth opportunities within and across industries.
Health, life, vision, and dental insurance: Cover all your medical bases.
Paid sick time
Retirement plan
Fitness reimbursement
Pet insurance
Identity protection
Technology stipend
Employee assistance program
Competitive pay
Accommodation support throughout the application and interview process