While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. 

We’ve been recognized with:

• 21x Google Cloud Partner of the Year awards in the last 8 years.
• 3x AWS AI/ML award wins.
• 3x NVIDIA Partner of the Year titles.
• 2x Snowflake Partner of the Year awards.
• We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. 

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Preferred Location: New Jersey, United States (Hybrid)

Experience Level: 10+

Responsibilities

• Design and lead the implementation of enterprise-scale AI, Generative AI, RAG, and Agentic AI solutions.
• Lead the evaluation and selection of foundation models, vector databases, embedding models, agent frameworks, retrieval strategies,, and supporting technologies based on functional and non-functional requirements.
• Design multi-agent systems, orchestration workflows, tool integration patterns, and evaluation frameworks
• Define and enforce engineering standards within delivery teams covering observability, evaluation, testing, and deployment practices.
• Guide engineering teams through technical design, development, testing, deployment, and operationalization activities.
• Conduct architecture reviews, code reviews, and technical mentoring across engineering teams.
• Collaborate with business stakeholders, architects, and delivery teams to translate requirements into scalable technical solutions.
• Contribute to critical implementations, proofs of concept, and architecture validation activities.

Must-Have Skills

• Enterprise AI Architecture: Proven experience defining enterprise-scale AI architecture, reusable patterns, multi-agent frameworks, and advanced retrieval loops (vector stores & graph databases)..
• Architecture Governance: Experience establishing standards, reviews, architecture principles, and decision-making frameworks.
• LLMOps & Lifecycle: Mastery over model lifecycle design, including evaluation frameworks, cost-tracking orchestration, context routing, and deployment topologies.
• Fine-Tuning: LoRA, PEFT, model customization, and adaptation techniques.
• Reinforcement Learning: Solid understanding of RL concepts and application in agentic systems.
• Executive Communication: Ability to communicate technical decisions and trade-offs to senior stakeholders.
• Technology Roadmapping: Experience defining long-term architecture and investment strategies.
• Cloud Architecture: Enterprise architecture expertise across GCP/Azure environments.

Good-to-Have Skills

• Telecom Solutions: Experience working in telecom industry
• Knowledge graph integration: Experience designing GraphRAG or hybrid retrieval architectures combining vector search with graph-based knowledge retrieval.
• MLOps / LLMOps: Model lifecycle management, observability, and production AI operations.

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world
• Be a leader of an energetic team of highly dynamic and talented individuals
• Exposure to working with fortune 500 companies and innovative market disruptors
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud