Position 1 : AI Engineer

Looking for an AI Engineer to help test, evaluate, and improve the Agentic System being developed for our Operator Assist product. Key requirements include:

- Strong expertise in Python and a solid understanding of APIs and system integrations.
- Deep knowledge of Generative AI, LLMs, and Agentic Systems.
- Experience defining and measuring agent evaluation metrics, including tool-calling performance, accuracy, reliability, and overall system effectiveness.
- Ability to quickly understand complex business domains by reviewing and analyzing large volumes of documentation and data.
- Experience designing evaluation datasets, creating questions and answers, developing multi-turn conversational scenarios, benchmarking agent performance, and identifying areas for improvement.
- Strong analytical and problem-solving skills, with a focus on improving agent quality and user outcomes.

Position 2 : AI Technical Lead An experienced AI Technical Lead with expertise in developing structured and unstructured data solutions using Snowflake and AWS. The resource should be able to lead a solution team of two to three members and own the end-to-end delivery of the solution.

We are seeking an experienced AI Technical Lead with expertise in building data and AI solutions using Snowflake and AWS. The ideal candidate will lead a small team of 2–3 engineers and be responsible for the end-to-end delivery of solutions involving both structured and unstructured data, ensuring scalability, performance, and business value.

Key Responsibilities

Lead the design, development, and deployment of AI and data solutions on Snowflake and AWS.





Architect solutions for processing, integrating, and analyzing structured and unstructured data from multiple sources.

Manage and mentor a team of 2–3 developers/engineers, providing technical guidance and delivery oversight.

Own end-to-end solution delivery, including requirements analysis, solution design, development, testing, deployment, and support.

Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into scalable AI solutions.

Design and optimize data pipelines, data models, and data processing frameworks.

Ensure adherence to security, governance, scalability, and performance best practices.

Drive technical design decisions, code reviews, and issue resolution activities.

Support production deployments, monitoring, and continuous improvement initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

6–10 years of experience in Data Engineering, AI/ML, Analytics, or Cloud Development.

Strong hands-on experience with Snowflake and AWS services.

Experience working with both structured and unstructured data platforms.





Proven experience leading small technical teams and delivering enterprise solutions.

Solid understanding of data architecture, cloud-native solutions, and AI/ML implementation.

Excellent communication and stakeholder management skills.

Preferred Qualifications

Experience with Generative AI, LLMs, RAG architectures, or intelligent automation solutions.

Knowledge of MLOps, DataOps, and modern data platform architectures.

Experience in Life Sciences, Healthcare, Financial Services, or other data-intensive industries.

Relevant AWS, Snowflake, or AI certifications.

Position 3 : AI with PM

Lead end-to-end delivery of AI, Machine Learning, and Generative AI projects from initiation through deployment.

Collaborate with business stakeholders to define project objectives, scope, timelines, success metrics, and expected outcomes.

Coordinate with data scientists, AI engineers, architects, product owners, and business teams to ensure seamless execution.

Establish project governance, manage risks, dependencies, and issue resolution throughout the project lifecycle.

Monitor project progress, budgets, resource allocation, and delivery milestones.

Facilitate workshops, steering committee meetings, and executive status reviews.

Drive Agile delivery practices, including sprint planning, backlog management, and release coordination.

Ensure compliance with organizational AI governance, security, privacy, and responsible AI standards.

Track adoption, business impact, and value realization of AI solutions post-implementation.

Manage vendor and partner engagements, where applicable.

📌 AI Positions (India)
🏢 Cognizant
📍 India