Technical Product - Associate Architect

Why Join Iris

Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions

Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.

About Us

At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition, Build Your Future. Own Your Journey. reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

Mandatory Skills: Agentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Agents & Tool Calling, AI Search Index, LangChain

Key Responsibilities

Product Strategy & Ownership

• Lead the full product lifecycle for your product — discovery, definition, launch, and iteration.
• Own the roadmap across its components and features, and connect it to the platform's broader goals
• Conduct user and stakeholder research to surface the highest-value problems, and prioritize the features that solve them.
• Translate ambiguous needs into clear requirements and a defensible delivery plan.
• Turn repeatable patterns from real delivery into reusable, scalable product capabilities.
  
  

Design & Architecture (Within the Platform)

• Partner with Engineering and Design to shape your product's design within the platform's existing architecture, including:
• How your product fits the multi-agent orchestration model
• Use of shared retrieval (RAG) and knowledge serviceso Reuse of platform skills, tools, and components
• Model selection within the platform's model orchestration layer
• Conversational and generative UI surfaces
• Apply and help refine shared platform standards for:
• Prompt and agent design patterns
• Evaluation, quality, and reliability
• Responsible AI, safety, and governance
• Human-in-the-loop and escalation patterns
• Make product-level decisions on feature flags, progressive rollout, and how your product respects the tenant isolation, data boundaries, and security patterns set by the platform.
  
  

Delivery Enablement

• Work closely with delivery teams to:
• Understand real-world use cases and jobs to be done
• Uncover friction in how people currently get work done
• Define how your product slots into existing workflows
• Shape how users interact with your product — its assistants, reusable skills and workflows, shared knowledge, and configurable patterns they can tailor to their context.
  
  

Execution & Delivery

• Collaborate with Engineering to:
• Prioritize the backlog and sequence investments
• Drive latency, quality, and cost improvements for your product
• Improve scalability, reliability, and observability
• Define success metrics and contribute to evaluation and monitoring, both offline and online, including usage and cost models for your product's AI workloads.
• Own documentation and standards for your product, aligned to platform conventions.
  
  

Stakeholder Management

• Partner across Engineering, Design, Security & Compliance, fellow product managers, and the practitioner community.
• Communicate trade-offs and translate fluently between technical teams and business stakeholders.
• Present your product's roadmap, progress, and impact to platform leadership.
  
  

What You'll Bring

• Proven PM experience shipping technical or platform products; experience with AI/ML or data-intensive products strongly preferred.
• Working fluency in modern AI (LLMs, agents, RAG, evaluation) and the trade-offs between them. A track record of translating ambiguous problems into clear roadmaps and shipped outcomes.
• Strong collaboration across engineering and design, and the ability to influence without authority.
• Comfort operating within enterprise responsible-AI, security, and governance constraints.
  
  

Nice to Have

• Experience with professional services / consulting delivery models.
• Hands-on familiarity with AI tooling and agent frameworks.
• Background designing for both practitioner and leadership audiences.
  
  

Mandatory Competencies

Perks And Benefits For Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.