ML Ops / Agent Ops Engineer
Location: Toronto – Hybrid at least 3 days in office
Experience: 12+ years
Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Description
We are seeking a highly skilled ML Ops / Agent Ops Engineer to design, build, and manage scalable AI-driven systems leveraging large language models (LLMs) and agent-based architectures. This role focuses on developing intelligent agents, implementing robust RAG pipelines, and ensuring production-grade deployment of AI solutions.
The ideal candidate will have strong expertise in Python, LLM APIs (OpenAI/Anthropic), agent orchestration frameworks, and MLOps/AgentOps practices.
Key Responsibilities
- Design and implement AI agents using frameworks such as LangGraph, CrewAI, AutoGen, or LangChain
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and contextual reasoning
- Develop Python-based API clients for integrating LLM services
- Work with Anthropic Claude API and/or OpenAI Agents SDK, including tool use and system prompts
- Implement prompt engineering strategies, including versioning and evaluation
- Establish and manage MLOps/AgentOps pipelines for deployment and monitoring
- Integrate and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma)
- Enable system monitoring through observability tools (e.g., LangSmith, Datadog, Weights & Biases)
- Ensure high performance, scalability, and reliability of AI-powered applications
Required Qualifications
- Strong proficiency in Python, including async programming and API development
- Hands-on experience with OpenAI APIs and/or Anthropic Claude API (Agent SDK preferred)
- Experience with at least one agent orchestration framework:
- LangGraph
- CrewAI
- AutoGen
- LangChain
- Experience building RAG pipelines and working with vector databases
- Familiarity with prompt engineering, versioning, and evaluation frameworks
- Understanding of MLOps or AgentOps practices, including CI/CD pipelines and monitoring
Key Skills
- Python Programming
- LLM APIs (OpenAI, Anthropic Claude)
- LangChain / LangGraph / CrewAI / AutoGen
- RAG Pipelines
- Vector Databases
- Prompt Engineering & Evaluation
- MLOps / AgentOps
- Observability & Monitoring
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Compensation: we are offering an annual salary between $69,750-$110,000
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
At Cognizant, we're eager to meet people who believe in our mission and can make an impact in various ways! We strongly encourage you to apply even if you only meet the required skills listed. Consider what transferrable experience and skills make you an outstanding applicant and help us see how you'd be helpful to this role.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs.
Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
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What we offer
- The chance to work with impact. Here, you’re empowered to bring your biggest thinking to help our company and clients improve everyday life.
- Ownership over your career. Stay at the top of your game through our award-winning learning and development ecosystem. And when your ambitions change or we offer new opportunities, we help you pivot by providing reskilling, on-the-job learning and guidance to find new roles that might be a better fit.
- The opportunity to thrive on a high caliber team with heart. We celebrate each other’s experiences and perspectives and promote a sense of belonging through our affinity groups and diversity and inclusion initiatives.
- A comprehensive total rewards package, including a competitive salary and a pension plan with matching contributions.
- Flexible health and financial benefits to support you and your eligible dependents—from day one.
- True work-life balance. Be at your best through paid time off, flexible work arrangements, volunteering opportunities, social events, and so much more.
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Other employment-related information
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
