Role: AI Solutions Manager

Location: Noida

Key Responsibilities:

1. Business-Technology Alignment

- Engage with Product teams to understand product requirements and priorities, ensuring alignment with business goals.

- Translate business needs into solution designs that fit within enterprise architecture framework (Architecture Documents, HLDs & LLDs).

- Act as a consultant to guide business transformation initiatives and ensure architecture decisions enable business agility and innovation.

2.

Solution Architecture

Design and Delivery

- Define and oversee AI-driven solution architectures across multiple business domains.

- Develop and maintain the current and future state architecture of assigned products.

- Provide solution blueprints and technical designs, ensuring alignment with enterprise standards (e.g., TOGAF).

- Ensure data continuity between products in scope and other integrated solutions.

- Prepare environments and development cycles for solution delivery.

- Produce architecture deliverables to validate technical gates.

- Define and control execution of solutions technical KPIs.

- Support agile delivery by guiding development teams in implementing scalable, secure, and sustainable solutions.

3. Governance and Standards Management

- Collaborate with Digiteam Design Authority & Enterprise Architecture team to ensure product compliance with architectural principles.

- Ensure solutions adhere to enterprise architecture governance, cybersecurity standards, and compliance requirements.

- Proactively identify technical debt within products and propose strategies for resolution.

- Contribute to the creation and promotion of reference architectures and solution patterns.

- Establish best practices for secure and scalable AI adoption.

4. Collaboration and Enablement

- Act as a liaison between product teams,



enterprise architects, cyber experts, and cloud specialists.

- Facilitate collaboration between platform architects, cybersecurity teams, and data governance leads to ensure end-to-end solution integration.

- Participate in estimating product budgets.

- Mentor and coach other architects within the business domain or product on best practices for solution architecture.

- Foster alignment between product and platform roadmaps to maximize cross-functional synergies.

- Communicate complex technical concepts in business-friendly language.

5.

Emerging

Technologies and Innovation

- Drive adoption of AI technologies within products and platforms.

- Conduct technology assessments and provide recommendations for emerging solutions that support product evolution.

- Monitor industry trends and leverage innovative technologies to address product challenges such as scalability, sustainability, and user experience.

- Identify opportunities for innovation and efficiency through AI-enabled solutions.

5.

Operational

Excellence

- Drive efficiency and coherence across product lifecycles.

- Implement frameworks for continuous improvement in AI-enabled solutions.

- Track KPIs and performance metrics to measure success of digital initiatives.

Must have:

- English: Excellent written and verbal communication.

- Minimum of 7-10 years in solution architecture roles, including experience in product/platform operating models.

- Solid knowledge of TOGAF or similar enterprise architecture frameworks.

- Proven experience in translating business requirements into scalable technical solutions.

- Demonstrated ability to manage stakeholder expectations, balance priorities, and deliver within tight timelines.

- Knowledge about AI Agents , LLMs , MCPs , MLOPs

- Proficiency in modern integration approaches (e.g., APIs, microservices, and cloud technologies).

📌 AI Solution Architect (Gurugram)
🏢 EY
📍 Gurugram