Cloud Delivery Engineer

Woolpert • Fort Worth, TX

9d

About The Position

Woolpert is hiring a Cloud Delivery Engineer to join our dynamic Cloud Solutions and Interdisciplinary Services (CSIS) team. This position reports to the Cloud Engineering Lead and is responsible for providing hands-on engineering and customer-facing project delivery, supporting the Digital Innovations market. The successful Cloud AI/ML Delivery Engineer will research and implement rapidly evolving Google AI/ML technologies (including Gemini Enterprise), frameworks, tools, and approaches. This position is client-facing and focused on successful project delivery, including providing technical leadership for your project team, collaborating during discovery activities, developing technical solutions, hands-on delivery, testing, and user training.

Requirements

• 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 language or scripting language (Python, NodeJS/ES6, etc) and associated AI/ML libraries and frameworks.
• Solid understanding of SDLC and Agile software development methodologies and tools related to team software development (e.g. Git, Jira, etc.).
• Strong communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

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

• Key member of the engineering team, working with client engineering teams, product owners, solutions architects, back-end/front-end developers to drive successful project delivery for our clients and solutions.
• Perform client and project discovery activities to understand business and technical requirements, success metrics, and solution architecture.
• Act as a trusted advisor to clients, understanding their business challenges and translating them into actionable, high-impact AI/ML solutions.
• Develop clear, compelling AI/ML roadmaps and strategies that align with client goals and maximize the use of Google Cloud's 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.
• Work closely with cross functional team members to drive successful delivery of client projects as well as establish repeatable processes and best practices in a professional services organization.

Benefits

• 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, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed