Principal Engineer

SourcingXPress; Bengaluru; On-site; INR 2,000,000 - 5,000,000; Full time

Job summary

SourcingXPress seeks a Principal AI Engineer in Bengaluru, India, to provide strategic vision and architectural leadership across multiple AI domains. The ideal candidate will lead enterprise-scale AI initiatives and cross-domain technical decisions, engage with executive stakeholders, and possess over 10 years of experience in AI architecture and system design. Responsibilities include defining AI architecture standards and driving innovation through emerging technologies. A competitive salary range of ₹ 20-50 Lacs PA is offered.

Qualifications

• 10+ years of experience in AI architecture and system design.
• Strong expertise in Generative AI, Machine Learning, and Agentic AI systems.
• Proven experience designing and delivering enterprise-scale AI platforms.
• Deep understanding of AI system architecture, model lifecycle, and deployment strategies.
• Ability to translate business problems into scalable AI solutions.

Responsibilities

• Define the technical vision and AI architecture standards for enterprise AI programs.
• Lead cross-domain technical decisions spanning AI types.
• Drive innovation by evaluating and adopting emerging AI technologies.
• Provide architectural leadership for enterprise-grade AI systems.
• Engage in industry thought leadership through conferences and research.

Skills

AI architecture

Generative AI

Machine Learning

Architectural decision-making

Technical strategy

Job description

About the Role

Our client is seeking a Principal AI Engineer to serve as a senior technical leader, providing strategic vision and architectural leadership across multiple AI domains. This role will drive enterprise-scale AI initiatives, lead cross-domain technical decisions, and represent AI capabilities to executive stakeholders.

Company: People Impact

Website: Visit Website

Business Type: Startup

Company Type: Service

Business Model: B2B

Funding Stage: Pre-seed

Industry: Staffing and Recruiting

Salary Range: ₹ 20-50 Lacs PA

Responsibilities

• Define the technical vision and AI architecture standards for enterprise AI programs.
• Lead cross-domain technical decisions spanning Generative AI, Agentic AI, and traditional Machine Learning.
• Drive innovation by evaluating and adopting emerging AI technologies and platforms.
• Act as the technical escalation point for complex and high-risk AI challenges.
• Provide architectural leadership for building and scaling enterprise-grade AI systems.
• Represent ECO AI capabilities to executive leadership and key stakeholders.
• Contribute to technical strategy, roadmap planning, and governance.
• Support M&A technical assessments and due diligence from an AI perspective.
• Engage in industry thought leadership through conferences, research, and external forums.

Technical Skills

Required Skills & Expertise

• 10+ years of experience in AI architecture and system design.
• Strong expertise in Generative AI, Machine Learning, and Agentic AI systems.
• Proven experience designing and delivering enterprise-scale AI platforms.
• Deep understanding of AI system architecture, model lifecycle, and deployment strategies.
• Ability to translate business problems into scalable AI solutions.

Leadership & Strategic Skills

• Strong technical strategy and architectural decision-making skills.
• Experience influencing senior leadership and executive stakeholders.
• Excellent communication and stakeholder management abilities.
• Proven ability to lead across multiple domains and teams.

Preferred / Nice-to-Have

• Published research papers or patents in AI/ML.
• Experience as a conference speaker or industry presenter.
• Exposure to analyst relations and industry engagements.
• Prior experience with M&A technical evaluations.
• Recognized industry thought leader in AI.

Ideal Candidate

• Principal-level AI architect with a strong blend of technical depth and business acumen.
• Comfortable operating at C-level discussions while also guiding deep technical teams.
• Passionate about shaping the future of AI at enterprise scale.
• Proven track record of innovation, leadership, and influence across AI domains.