Ai/ml Architect Job in Thoughtfocus
Ai/ml Architect
Thoughtfocus
7 days ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
Job Summary
Job Title: AI/ML Architect
Location: Bangalore, India
Experience: 15 17 Years
Employment Type: Full-Time
Overview:
We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements.
Key Responsibilities:
Solution Architecture & Design:
RFP Response & Proposal Development:
Project Delivery & Technical Leadership:
Stakeholder & Cross-Functional Collaboration:
Innovation & Continuous Improvement:
Required Skills & Qualifications:
Location: Bangalore, India
Experience: 15 17 Years
Employment Type: Full-Time
Overview:
We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements.
Key Responsibilities:
Solution Architecture & Design:
- Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI.
- Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs.
- Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies.
RFP Response & Proposal Development:
- Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards.
- Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions.
- Partner with sales and business teams to align proposals with market needs and positioning.
Project Delivery & Technical Leadership:
- Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance.
- Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines.
- Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes.
Stakeholder & Cross-Functional Collaboration:
- Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges.
- Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions.
Innovation & Continuous Improvement:
- Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives.
- Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity.
Required Skills & Qualifications:
- 15 17 years of overall experience with 2 3 years in a leadership/project management role.
- Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies.
- Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP).
- Experience designing and implementing end-to-end AI solutions in complex, data-driven environments.
- Demonstrated success in crafting technical proposals and responding to RFPs.
- In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration.
- Effective project and stakeholder management skills; able to balance priorities across multiple projects.
- Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

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