AI/ML Engineer

Description

You will join the Cloud Solutions and Interdisciplinary Services team, which sits within the geospatial sector of a global architecture, engineering, and geospatial firm.

The team delivers SaaS products and professional services to public and private customers, from startups to very large companies. It grew out of the firm's Digital Innovations group and builds geospatial and cloud-native solutions.

The role reports to the Cloud Engineering Lead and supports the Digital Innovations market. It is client-facing and combines hands-on engineering with project delivery, including research into fast-changing AI/ML tools such as the Gemini models.

You will work across disciplines on client projects that shape communities, critical infrastructure, and the built environment.

Responsibilities

• Lead the technical side of your project team, and work with client engineers, product owners, solutions architects, and back-end and front-end developers to deliver results.
• Run discovery sessions with clients to learn their business and technical needs, success measures, and solution architecture.
• Advise clients as a trusted partner, turning their business problems into practical AI/ML solutions with clear impact.
• Build clear AI/ML roadmaps and strategies that match client goals and make good use of the cloud platform's AI and data services.
• Design and build complete AI/ML solutions on Google Cloud Platform, covering data ingestion, feature engineering, model training, deployment, and monitoring.
• Do hands-on delivery, testing, and user training.
• Work with cross-functional colleagues to deliver client projects and set up repeatable processes and best practices for a professional services group.

Requirements

• At least 8 years of experience in a client-facing consulting role.
• Proven experience with AI/ML technologies and applications.
• Proven experience with the Gemini model family, from integrating and customizing Gemini Enterprise solutions to developing and fine-tuning custom Gemini models.
• Hands-on experience with core GCP services used for 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, along with relevant AI/ML libraries and frameworks.
• Solid understanding of the SDLC and Agile methods, and of team tools such as Git and Jira.
• Strong communication skills, with the ability to explain complex technical ideas to both technical and non-technical audiences.
• Preferred: Hands-on experience with Google Cloud services such as Vertex AI, TensorFlow, BigQuery, Cloud Storage, and Dataflow.
• Preferred: Cloud platform professional certifications.
• Preferred: Professional services experience designing and delivering large enterprise solutions.
• Preferred: Knowledge of security and IAM tools and principles.

Conditions

Base pay is $118,200 to $147,800 USD. Pay may vary based on job-related knowledge, skills, and experience.

This is a hybrid role based in one of the firm's US offices, with flexibility to work from home.

Visa sponsorship is not available for this position, so you must already have work authorization in the country where the job is located.

The firm is an equal-opportunity employer that recruits, trains, pays, and promotes without regard to protected status.

Benefits

• The firm is certified as a Great Place to Work and is one of the fastest-growing architecture, engineering, and geospatial companies in the world, with more than 75 offices and projects around the globe.
• A Freedom to Work program that lets you set your own schedule and location, where appropriate.
• A Principal program that gives you the chance to become an owner of the firm.
• Flexible paid time off that you can use when it suits you and your team.
• Learning and career development opportunities within and across industries.
• Health, life, vision, and dental insurance.
• Paid sick time, a retirement plan, fitness reimbursement, pet insurance, identity protection, a technology stipend, an employee assistance program, and more.