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For Companies At a Glance
- Tasks: Design and build cutting-edge AI solutions for global enterprise clients.
- Company: Cognizant, a leading tech and business consulting firm with a focus on AI innovation.
- Benefits: Competitive salary, health benefits, remote work options, and career development opportunities.
- Other info: Be part of a dynamic team driving transformative AI solutions globally.
- Why this job: Join a rapidly expanding AI division and make a real impact in the tech world.
- Qualifications: 4+ years in software engineering, strong Python skills, and experience with LLMs.
The predicted salary is between 70000 - 90000 £ per year.
About Cognizant
Cognizant is a global leader in technology and business consulting with over 350,000 employees worldwide and revenues exceeding $19 billion. Serving Fortune 500 enterprises across banking, healthcare, retail, and manufacturing, Cognizant is rapidly expanding its AI Center of Excellence division. In 2026, the company is making massive investments in Generative AI and Agentic AI to deliver transformative enterprise solutions.
Role Overview
As an AI Engineer specializing in Agentic and Generative AI, you will spearhead the delivery of intelligent, autonomous AI systems for Cognizant’s enterprise clients globally. You’ll serve as a hands‑on technical expert and trusted advisor—designing, building, and deploying state‑of‑the‑art AI solutions that use LLMs, multi‑agent systems, and generative models to solve complex business challenges.
Key Responsibilities
- Design and build end-to-end Agentic AI solutions using frameworks like LangChain, AutoGen, CrewAI, and Microsoft Semantic Kernel
- Develop GenAI‑powered applications leveraging GPT-4, Claude, Gemini, and open‑source LLMs
- Architect and implement RAG pipelines with enterprise knowledge bases, vector search, and hybrid retrieval
- Lead technical discovery sessions with enterprise clients to identify automation and AI opportunities
- Integrate AI agents into enterprise workflows including CRM, ERP, and customer support systems
- Design and implement multi‑agent orchestration with tool use, memory, and planning capabilities
- Build, evaluate, and fine‑tune foundation models on domain‑specific datasets
- Define and monitor KPIs for AI system performance, safety, and business value delivery
- Collaborate with product managers, data engineers, and enterprise architects on delivery roadmaps
- Contribute to Cognizant’s internal AI Center of Excellence with best practices, documentation, and mentorship
Required Skills & Qualifications
- 4+ years of software engineering experience with a strong Python background
- 2+ years of hands‑on experience with LLMs and GenAI development
- Proficiency in LangChain, LangGraph, or AutoGen frameworks
- Experience deploying ML models to production in cloud environments (Azure, AWS, GCP)
- Strong understanding of prompt engineering techniques, few‑shot learning, and RLHF
- Knowledge of vector databases (Pinecone, Qdrant, FAISS)
- Excellent communication skills — ability to explain AI concepts to non‑technical stakeholders
AI Engineer — AI Specialist in Rochester employer: Yugal Tech Academy
Contact Detail:
Yugal Tech Academy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — AI Specialist in Rochester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those at Cognizant. Use LinkedIn to connect and engage with their posts. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Agentic and Generative AI. Whether it’s GitHub repos or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you’ll need to communicate effectively with non-technical stakeholders at Cognizant.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to go directly to the source!
We think you need these skills to ace AI Engineer — AI Specialist in Rochester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs, GenAI development, and any relevant frameworks like LangChain or AutoGen. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Cognizant. Let us know what excites you about working with cutting-edge technology.
Showcase Your Projects: If you've worked on any projects involving AI solutions, make sure to include them! Whether it's deploying ML models or developing GenAI applications, we love seeing real-world examples of your work and how you tackled challenges.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Cognizant.
How to prepare for a job interview at Yugal Tech Academy
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Agentic and Generative AI. Familiarise yourself with frameworks like LangChain and AutoGen, as well as LLMs like GPT-4. Being able to discuss these topics confidently will show that you're not just a candidate, but a passionate expert.
✨Showcase Your Projects
Prepare to talk about your previous projects involving AI solutions. Highlight specific challenges you faced and how you overcame them, especially if they relate to deploying ML models in cloud environments. Real-world examples can make a huge impact!
✨Communicate Clearly
Since you'll need to explain complex AI concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or relatable examples to demonstrate your understanding without getting too technical. This will showcase your communication skills, which are crucial for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about Cognizant's AI initiatives and their future plans. This shows your genuine interest in the company and the role. Plus, it gives you a chance to assess if the company aligns with your career goals and values.