Key Responsibilities:

- Solution Architecture Design:
- Develop and maintain robust AI/ML solution architectures that incorporate the latest innovations such as autonomous AI agents, scalable business intelligence systems, and generative AI platforms.
- Collaborate with cross-functional teams (data scientists, engineers, UX experts, and business strategists) to translate complex business requirements into innovative technical designs.
- Evaluate emerging AI trends and technology advancements to inform solution blueprints and architectural roadmaps.
- RFP Response Proposal Development:
- Lead the technical response process for Requests for Proposal (RFPs) by designing comprehensive solution frameworks that resonate with client needs.
- Craft detailed technical proposals and presentations to articulate the strategic advantages and ROI of AI-driven solutions.
- Collaborate with sales and business development teams to refine proposal strategies and ensure alignment with market requirements.
- Project Delivery Technical Leadership:
- Oversee the end-to-end project lifecycle from conceptual design through implementation, testing, and deployment ensuring projects meet quality, performance, and regulatory standards.
- Engage in hands-on technical problem solving and mentor project teams on best practices in AI/ML solution development and integration.
- Manage project timelines, resource allocation, and risk assessment to ensure timely and successful delivery.
- Stakeholder Cross-Functional Collaboration:
- Serve as the primary technical liaison between internal teams, clients,



and executive stakeholders, ensuring clear communication of AI strategies and project progress.
- Lead technical review sessions, workshops, and demonstrations to highlight project advancements and drive consensus on architectural decisions.
- Innovation Continuous Improvement:
- Stay current on industry trends, research publications, and competitive landscapes to incorporate innovative ideas into solution design.
- Continuously assess and improve existing AI platforms and processes to optimize performance, scalability, and user experience.

Required Skills Qualifications:

- Overall experience of 15-17 years with 2-3 years in project management.
- Proven experience in AI/ML architecture, solution design, or a related technical leadership role, preferably within environments that handle autonomous agent engineering and enterprise AI solutions.
- Deep knowledge of AI/ML frameworks, data pipelines, cloud architectures, and modern development practices.
- Demonstrated expertise in responding to RFPs and crafting compelling technical proposals that align with business objectives.
- Solid understanding of AI/ML concepts, including machine learning algorithms, natural language processing (NLP), deep learning, and generative AI.
- Excellent project management skills with the ability to manage multiple initiatives and coordinate cross-functional teams.
- Robust communication and presentation skills, with a proven track record of translating technical complexities into clear business value.

📌 AI/ML Architect (Bengaluru)
🏢 ThoughtFocus
📍 Bengaluru