About the role
As a Sr. Generative AI Consultant – SAS to PySpark Modernization, you will make an impact by designing and building intelligent, AI-driven solutions that automate legacy code transformation and validation at scale. You will be a valued member of a strategic data modernization initiative, working closely with data engineers, AI specialists, and business stakeholders to deliver innovative, scalable, and high-accuracy solutions in actuarial and data domains.
In this role, you will:
- Design and develop agentic AI systems for automated SAS to PySpark code conversion and validation
- Build and orchestrate multi-agent workflows leveraging large language models (LLMs) for code parsing, transformation, optimization, and testing
- Develop RAG (Retrieval-Augmented Generation) pipelines to retrieve legacy logic, reusable patterns, and business rules
- Create and execute automated testing frameworks to validate and reconcile SAS vs. PySpark outputs
- Integrate AI-driven solutions with AWS services such as Bedrock, S3, Glue, Lambda, and API Gateway
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring onsite presence in Toronto, Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on business and client requirements.
What you need to have to be considered
- 8–12+ years of experience in data engineering, AI solutions, or large-scale data modernization
- Strong expertise in Python and PySpark development
- Hands-on experience with AWS ecosystem (Glue, S3, Lambda, Bedrock, CloudWatch)
- Proven experience working with LLMs (Claude, OpenAI, or similar) and prompt engineering
- Deep understanding of RAG architectures and vector-based retrieval systems
- Strong proficiency in SAS programming and data pipelines (essential for transformation logic)
- Experience in ETL development and large-scale data migration
- Strong experience in data validation, reconciliation, and automated testing frameworks
These will help you stand out
- Familiarity with agentic AI frameworks and multi-agent orchestration (e.g., LangChain, LangGraph)
- Experience in actuarial or insurance domains (pricing, risk modeling, regulatory reporting)
- Exposure to MLOps practices and CI/CD pipelines for AI solutions
- Experience building reusable accelerators for modernization programs
- Strong collaboration and communication skills for working with cross-functional teams
We’re excited to meet people who share our passion for innovation and transformation. Don’t hesitate to apply—even if you don’t meet every requirement. Your experience, curiosity, and ability to solve complex problems could make you a great fit for this role.
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $90,000 - $107,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
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.
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.
About the role
As a Sr. Generative AI Consultant – SAS to PySpark Modernization, you will make an impact by designing and building intelligent, AI-driven solutions that automate legacy code transformation and validation at scale. You will be a valued member of a strategic data modernization initiative, working closely with data engineers, AI specialists, and business stakeholders to deliver innovative, scalable, and high-accuracy solutions in actuarial and data domains.
In this role, you will:
- Design and develop agentic AI systems for automated SAS to PySpark code conversion and validation
- Build and orchestrate multi-agent workflows leveraging large language models (LLMs) for code parsing, transformation, optimization, and testing
- Develop RAG (Retrieval-Augmented Generation) pipelines to retrieve legacy logic, reusable patterns, and business rules
- Create and execute automated testing frameworks to validate and reconcile SAS vs. PySpark outputs
- Integrate AI-driven solutions with AWS services such as Bedrock, S3, Glue, Lambda, and API Gateway
Work model:
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring onsite presence in Toronto, Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on business and client requirements.
What you need to have to be considered
- 8–12+ years of experience in data engineering, AI solutions, or large-scale data modernization
- Strong expertise in Python and PySpark development
- Hands-on experience with AWS ecosystem (Glue, S3, Lambda, Bedrock, CloudWatch)
- Proven experience working with LLMs (Claude, OpenAI, or similar) and prompt engineering
- Deep understanding of RAG architectures and vector-based retrieval systems
- Strong proficiency in SAS programming and data pipelines (essential for transformation logic)
- Experience in ETL development and large-scale data migration
- Strong experience in data validation, reconciliation, and automated testing frameworks
These will help you stand out
- Familiarity with agentic AI frameworks and multi-agent orchestration (e.g., LangChain, LangGraph)
- Experience in actuarial or insurance domains (pricing, risk modeling, regulatory reporting)
- Exposure to MLOps practices and CI/CD pipelines for AI solutions
- Experience building reusable accelerators for modernization programs
- Strong collaboration and communication skills for working with cross-functional teams
We’re excited to meet people who share our passion for innovation and transformation. Don’t hesitate to apply—even if you don’t meet every requirement. Your experience, curiosity, and ability to solve complex problems could make you a great fit for this role.
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $90,000 - $107,000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
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.
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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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, state or local laws.
