Senior AI Engineer

Iris’s Fortune 100 direct client is looking for Senior AI Engineer

Please find below Job description and share your updated resume with me.

Position Senior AI Engineer Employment Type Long term Contract Location Jersey City, NJ or Raleigh, NC (you can choose any one location) Hybrid 4 days office , 1 day work from home Client Banking Client

Job Description:

Client is seeking an AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions. You will lead the design and development of intelligent systems that enhance client engagement, deal intelligence, and sales productivity across Capital Markets.

The team is looking for a hands-on AI Engineer to drive Generative AI initiatives that empower our Sales organization. You will build and deploy AI solutions that give sales professionals real-time insights, automate routine tasks, and enable them to focus on client relationships and closing deals.

What will you do:

Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering, pitch content generation, deal summarization, and real-time conversation analysis. Develop conversational AI systems that assist sales professionals in client interactions and help synthesize client intelligence across multiple data sources. Embed Generative AI tools into Sales platforms, enabling seamless workflows for prospect research, proposal generation, and deal tracking. Architect end-to-end AI solutions covering experimentation, model evaluation, and production monitoring to ensure sales tools perform reliably at scale. Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation.

Roles and Responsibilities:

• 8 years of overall years of experience
• 2-5 years building Deep Learning or Machine Learning models in production environments.
• Advanced proficiency in Python and hands-on experience with Generative AI frameworks and architectures.
• Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns.
• Strong understanding of large language model architectures, inference, fine-tuning, and model deployment.
• Experience with Anthropic models and Claude, including code generation capabilities. In-depth knowledge of embeddings, re-rankers, and vector databases.
• Expertise in ML experimentation, model evaluation, and monitoring in production. Strong foundation in algorithms, data structures, and distributed computing.
• Understanding of Enterprise standards or have prior experience of working with enterprise team, ability to learn on the job and adaptive the change
• Embraces an AI-first approach: Someone who actively incorporates AI tools and technologies into daily workflows to enhance productivity, streamline routine tasks, and drive efficiency. Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to deliver better outcomes for clients and internal stakeholders.
• Also good understanding of code review and quality gate checks such as unit code tests, open source scans , aqua scans etc. and worked on fixing these

About Iris Software Inc.

With 4,000+ associates and offices in India, U.S.A. and Canada. Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.