Generative AI Developer at Stantec

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

152000.0

Posted On

05 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative AI, Agentic AI, LLM-Powered Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), Intelligent Automation, Model Lifecycle Management, Azure-Native Services, Databricks, Azure DevOps CI/CD, Containerization, Infrastructure-as-Code, API Integration, Governance, Security, Architecture Design

Industry

Industrial Machinery Manufacturing

Description

Generative AI Developer Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec’s Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms. You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec’s governance, security, and responsible AI principles. Your Key Responsibilities * Architect end-to-end GenAI solutions, including model lifecycle management, evaluation, deployment, and monitoring. * Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines. * Act as a technical advisor and reviewer, supporting architectural decisions, code reviews, and design trade-offs. * Provide architectural guidance for production deployments using Azure-native services, Databricks, and Azure DevOps CI/CD pipelines, ensuring solutions align with enterprise standards. * Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness. * Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost). * Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management. * Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability. * Guide implementation teams through design reviews, technical decision-making, and delivery of best practices. * Document architectural patterns, methodologies, and lessons learned; contribute to internal knowledge bases and Communities of Practice. * Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk. * Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems. At Stantec, we have some of the world’s leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we’re building a stronger, more resilient Stantec every day. Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week. Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law). Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law. The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements

Responsibilities

The developer will drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems, focusing on building scalable, secure solutions like LLM-powered agents and RAG systems. Key duties include architecting end-to-end GenAI solutions, integrating LLMs into pipelines, and establishing governance for model usage and data handling.