AI Developer Job Listing at Tetra Tech in Mississauga, ON (Job ID 53078)

Description

The Opportunity:

Tetra Tech is adding an AI Developer to our Power team based in Mississauga, Ontario (this role can be performed anywhere in Canada). 

Why Tetra Tech:

At Tetra Tech, we are Leading with Science to solve the world's most complex challenges.  Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world.  For over 50 years, we have been at the forefront of innovation and sustainability.  Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development.  Our work has improved more than 625 million lives around the world.

Your Impact:

Join Tetra Tech to make a real difference.  Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential – join us to advance your career while leaving a lasting legacy.

Position Summary:

We are currently seeking an AI Developer for our Mississauga, Ontario office. This is a new position for which we are actively recruiting. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential Job Functions:

Your main focus is automating the creation of job deliverables—project documents, engineering outputs, and more—by combining robust data processing and vector indexing with grounding and retrieval over our enterprise content, and by orchestrating multi‑agent systems across frameworks (e.g., Semantic Kernel, AutoGen, LangChain). You will evaluate, integrate, and (where appropriate) fine‑tune LLMs from multiple providers to best fit each use case and build secure, user‑friendly UI applications that our engineers and project teams use daily. You'll partner with domain experts, project engineers, and data scientists across our global innovation hubs to leverage AI applications to transform unstructured data into accurate, auditable, and compliant deliverables that accelerate delivery for our utility and energy clients, improves consistency and reliability, and unlocks new operational insights.

• Design, build and integrate agentic LLM apps on Azure (Azure AI Foundry/Azure OpenAI, Azure AI Search, Azure Functions, Storage, Key Vault, Container Apps/AKS).
• Implement robust RAG pipelines: content ingestion, chunking, embedding, vector + hybrid search, re‑ranking, query rewriting, grounding, and hallucination mitigation.
• Build AI document search and extraction flows (e.g., OCR and layout parsing via Azure Document Intelligence/Form Recognizer) and metadata enrichment for enterprise content.
• Orchestrate multi‑agent systems across frameworks (e.g., Semantic Kernel, AutoGen, LangChain) with tool/function calling and tool orchestration.
• Integrate, evaluate, and fine‑tune models (where applicable) from multiple providers (e.g., OpenAI, Anthropic, Google, xAI and open‑source models via Azure ML/Hugging Face) and select the best model per agent/application.
• Develop secure, user‑friendly UI apps with streaming chat, file upload, and structured output to generate proposals, schedules execution plans, and engineering deliverables.
• Establish evaluation and quality gates (groundedness, faithfulness, relevance), golden datasets, A/B tests, and human‑in‑the‑loop reviews for regulated documentation.
• Optimize cost and performance: token budgeting, caching, batching/streaming, parallelism, and latency reduction; implement observability for quality and spend.
• Operate with enterprise‑grade security and compliance: Entra ID (Azure AD), RBAC, Private Link, network isolation, secrets management, data residency/sovereignty, PII handling.
• Collaborate cross‑functionally and write clear design docs, runbooks, and user guidance for stakeholder rollout and adoption and present findings to internal and external stakeholders

Required Qualifications:

• Passion for the future of AI: Genuinely enthusiastic about how responsible AI can transform engineering and infrastructure—stays curious and energized by emerging capabilities.
• Continuous learning & exploration: Proactively tracks new AI researches, models, frameworks, and platforms updates; experiments hands‑on and shares findings with the team.
• Education: Bachelor's degree in Computer Science, Electrical/Computer Engineering, or related field (Master's in Artificial Intelligence/Machine Learning or equivalent experience is preferrable).
• 4+ years of software engineering experience; 1–2+ years delivering LLM/RAG applications and agentic systems in production or pilot environments.
• Python-first developer: strong proficiency with Python (FastAPI, asyncio, packaging, testing);
• Azure expertise: Azure AI Foundry; Azure AI Search (vector + hybrid); Azure Cognitive Services & Document Intelligence; Azure Functions/Logic Apps; Azure Storage (Blob/Data Lake); Azure Key Vault/Managed Identity; Event Hub/Service Bus; Azure Container Apps/AKS; Azure Monitor/Application Insights; Private Link/VNet networking.
• Agentic orchestration: hands-on building multi-agent workflows using Semantic Kernel and/or AutoGen, LangChain; tool/function calling, routing/planning, memory, and tool orchestration with reliability patterns (timeouts, retries, circuit breakers).
• RAG & document pipelines: content ingestion, OCR/layout parsing, chunking strategies, embeddings, vector indexing (e.g. Azure AI Search vector index, pgvector/Redis/Pinecone/Milvus), hybrid search, re-ranking, query rewriting, grounding, and hallucination mitigation.
• LLM integration across providers: OpenAI, Anthropic, Google, xAI, and open-source models via Azure ML/Hugging Face; prompt design, structured/function calling, streaming, batching, and rate-limit management; fine-tuning/PEFT (e.g., LoRA) where appropriate.
• Data engineering: SQL proficiency and experience with Spark/Databricks or equivalent; ETL/ELT for unstructured & semi-structured enterprise data; schema/metadata design.
• MLOps/LLMOps: CI/CD with Azure DevOps or GitHub Actions; model/prompt versioning, feature flags, blue‑green/rolling deploys, artifact registries; experiment tracking (MLflow or equivalent).
• Security & compliance: Entra ID (Azure AD) with RBAC/least privilege and MFA/Conditional Access; encryption in transit/at rest; secrets and CMKs in Key Vault; Private Link/VNet isolation; audit logging/SIEM; DLP/redaction & data classification; data residency/sovereignty; familiarity with GDPR
• Testing & evaluation: unit/integration tests, deterministic LLM stubs/mocks, offline/online evaluations (groundedness, faithfulness, relevance), A/B testing, and human‑in‑the‑loop reviews for regulated documentation.
• Solid understanding of statistics, probability, optimization, and different Machine Learning Neural Network algorithms (e.g., LLM, CNN, RNN).
• Excellent problem-solving skills, with a track record of translating complex technical challenges into practical solutions.
• Strong communication and collaboration skills, with the ability to work in cross-functional teams and explain technical concepts to non-technical audiences.

Physical Requirements:

• Ability to sit or stand as required and remain in a stationary position for at least 50% of the workday.
• Frequent use of hands and fingers to handle, manipulate, or feel objects, including continuous operation of a computer and other standard office equipment such as calculators, copiers, and printers.

Work Environment / Environmental Factors:

• The majority of work is performed in a professional office setting.
• Periodic travel may be required and could involve limited exposure to extreme temperatures. Travel may include air travel, during which the employee may be required to remain seated for extended periods.

Additional Information

Tetra Tech offers comprehensive benefit options that allow employees to design a plan based on individual needs and assists in planning for long-term financial security. Available benefits include medical, dental and vision insurance, term life, disability, accidental death & dismemberment coverage, time off with pay, retirement plan, and an Employee Stock Purchase Plan.  

The salary range for this position is $60,000 to $110,000. Please note that Tetra Tech considers various factors in determining pay, including but not limited to: education, relevant and demonstrated work experience in the role, skills, geographic location, qualifications, certifications, and other competencies relevant to the needs of the business.

Life at Tetra Tech:

The perks of working at Tetra Tech include:

·       Comprehensive and market-competitive benefits.

·       Merit-based financial rewards.

·       Flexibility and company-wide commitment to work/life balance.

·       Collaborative team atmosphere that values the contributions of all employees.

·       Learning and development opportunities for ongoing professional growth. 

About Tetra Tech:

Tetra Tech is the leader in water, environment, and sustainable infrastructure, providing high-end consulting and engineering services for projects worldwide. With 30,000 employees working together, Tetra Tech provides clear solutions to complex problems by Leading with Science® to address the entire water cycle, protect and restore the environment, design sustainable and resilient infrastructure, and support the clean energy transition.

Tetra Tech is proud to be an Equal Opportunity Employer.  All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law.

Tetra Tech may use AI-enabled tools to screen, assess, and assist in selecting applicants for this position based on job-related criteria. However, a human decision-maker will decide who moves forward throughout every stage of the hiring process.

We invite applications from all interested parties.

Explore our open positions at https://www.tetratech.com/careers. Follow us on social media to learn more about our people, culture, and opportunities:

LinkedIn: @TetraTechCareers

X (Twitter): @TetraTechJobs

• Organization: 705 PWR