Senior AI Platform Engineer

Hiring: Senior AI Platform Engineer | GenAI | AWS | Python | Location: Toronto, ON (Hybrid 4 Days onsite) Job Type: Long-Term Contract We are looking for a Senior AI Platform Engineer with strong experience in Generative AI platforms, AWS, Python, and DevSecOps to help build and scale enterprise AI capabilities. The ideal candidate will have hands-on experience enabling AI platforms, implementing governance and security controls, and delivering cloud-native GenAI solutions. Key Responsibilities Lead enterprise AI platform enablement initiatives and onboard users, teams, and AI use cases. Enable and support platforms such as OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, LLM Gateways, and Agentic AI frameworks. Collaborate with Information Security, Risk, Compliance, Legal, and Engineering teams to define and implement AI governance controls. Design and implement IAM policies, guardrails, content filtering, logging, monitoring, quota management, and security controls. Build and maintain scalable GenAI platform capabilities using Python and AWS. Develop LLM pipelines, Agentic AI workflows, MCP integrations, and Graph/RAG architectures. Automate platform provisioning and policy enforcement using Terraform, Infrastructure as Code, and CI/CD. Monitor platform usage, token consumption, quotas, and costs while creating dashboards and automated alerts. Provide technical guidance and user support for AI platforms, APIs, agents, MCP servers, and prompt-based applications. Create technical documentation, runbooks, onboarding guides, and operational best practices. Drive Agile delivery while ensuring compliance with enterprise governance and DevSecOps standards. Required Skills 6+ years of software engineering experience with 1–2+ years focused on AI platforms or GenAI solutions. Strong experience with OpenAI, Claude, Gemini, LLaMA, Amazon Bedrock, and prompt engineering. Experience building Agentic AI, MCP (Model Context Protocol), Graph RAG, and LLM-based solutions. Hands-on experience with AWS services including EKS, Lambda, Fargate, EC2, Bedrock, Glue, Athena, and Lake Formation. Strong Python development skills (NumPy, Pandas, Boto3). Experience implementing IAM, security guardrails, audit logging, rate limiting, and governance controls. Expertise with Infrastructure as Code using Terraform, Docker, and containerized deployments. Experience with Vector/Graph databases such as Neo4j, Weaviate, Milvus, PGVector, or Amazon Neptune. Familiarity with DevSecOps, CI/CD, Agile, Jira, and Confluence. Excellent stakeholder management and communication skills. Nice to Have Experience with QuickSight or Tableau. Knowledge of financial markets or enterprise data platforms. Experience with automated AI evaluation tools such as Ragas, Playwright, Selenium, or Zephyr. If you're interested or know someone who would be a great fit, feel free to apply or share your profile to harish.a@siriinfoinc.com

Lead the enablement and scaling of enterprise AI platforms, focusing on GenAI solutions and governance controls. Design and implement secure cloud-native architectures, LLM pipelines, and automated platform provisioning using AWS and Terraform.

Requires over 6 years of software engineering experience with at least 1-2 years specializing in AI platforms or GenAI. Proficiency in Python, AWS services, and experience with LLMs like OpenAI, Claude, and Gemini is essential.

• DockerPreferred
• Amazon Web ServicesPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Generative AI
• AWS
• Python
• DevSecOps
• Amazon Bedrock
• Terraform
• LLM Pipelines
• Agentic AI
• Graph RAG
• IAM
• Docker
• Vector Databases

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting

Minimum experience

5+ years

Apply by

Sep 5, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available