AI/ML Engineer

Woolpert•Fort Worth, TX

9d•$118,200 - $147,800•Hybrid

About The Position

Woolpert is hiring a Cloud AI/ML Delivery Engineer for its Cloud Solutions and Interdisciplinary Services (CSIS) team. The role reports to the Cloud Engineering Lead and provides hands-on engineering and customer-facing project delivery in support of the Digital Innovations market. The engineer researches and implements evolving Google AI/ML technologies, including Gemini Enterprise, and provides technical leadership across project discovery, solution design, implementation, testing, and user training. This client-facing position involves working with client engineering teams, product owners, solutions architects, and developers to deliver AI/ML solutions. The engineer advises clients, translates business challenges into technical solutions, develops AI/ML strategies and roadmaps, and designs and implements end-to-end solutions on Google Cloud Platform. The role is hybrid, with work from a US-based Woolpert office and flexibility to work from home. Woolpert cannot provide visa sponsorship; applicants must already be authorized to work in the country where the job is located.

Requirements

At least 8 years of experience in a customer-facing consulting role.
Proven experience with AI/ML technologies and applications.
Experience using the Gemini family of models, including integrating and customizing Gemini Enterprise solutions and developing and fine-tuning custom Gemini models.
Hands-on experience with core Google Cloud AI/ML services, such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
Proficiency in at least one programming or scripting language, such as Python or NodeJS/ES6, and associated AI/ML libraries and frameworks.
Understanding of SDLC and Agile software development methodologies and team development tools such as Git and Jira.
Strong communication and collaboration skills, including the ability to explain complex technical concepts to technical and non-technical audiences.
Applicants must already possess work authorization in the country where the job is located.

Nice To Haves

Hands-on experience with Google Cloud services such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
Google Cloud Platform professional certifications.
Professional services experience designing and delivering large enterprise solutions.
Knowledge of security and IAM tools and principles.

Responsibilities

Work with client engineering teams, product owners, solutions architects, and back-end and front-end developers to drive successful project delivery.
Conduct client and project discovery to understand business and technical requirements, success metrics, and solution architecture.
Advise clients on business challenges and translate them 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.
Collaborate with cross-functional team members to deliver client projects and establish repeatable processes and best practices.
Research and implement Google AI/ML technologies, frameworks, tools, and approaches.
Provide technical leadership, participate in hands-on delivery and testing, and train users.

Benefits

Freedom to Work program allowing employees to set their schedule and location as appropriate.
Opportunity to participate in the Principal program and become an owner of the firm.
Flexible paid time off and vacation.
Career development and learning opportunities.
Health, life, vision, and dental insurance.
Paid sick time.
Retirement plan.
Fitness reimbursement.
Pet insurance.
Identity protection.
Technology stipend.
Employee assistance program.
Competitive pay.