Principal Architect, AI Solutions
Fully remote work flexibility within India. Listing location: India Structured job location: IndiaFull-TimePrincipal
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 12+ years of experience
- Required Skills
- Data engineeringRESTful APIsDistributed Systems
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
- 12+ years of experience in software engineering, architecture, or technology leadership roles.
- Proven experience designing and delivering enterprise-scale AI solutions in production environments.
- Deep expertise in modern AI architecture patterns, including LLM applications, retrieval-augmented systems, and agent-based workflows.
- Strong background in distributed systems, APIs, cloud platforms, data engineering, integration, and security architecture.
- Experience defining enterprise architecture standards, reusable patterns, and governance frameworks across multiple teams.
- Strong ability to influence senior stakeholders and drive alignment without direct authority.
- Excellent communication skills, able to adapt messaging from technical teams to executive leadership.
- Strong balance of innovation mindset, risk awareness, and long-term architectural thinking.
- Experience in AI governance, responsible AI, model risk, and secure AI deployment practices (preferred).
- Familiarity with cloud AI platforms, vector databases, observability tools, and AI operations (preferred).
- Experience mentoring architects or leading architecture communities (preferred).
Responsibilities
- Lead architecture design for strategic AI initiatives across enterprise products, platforms, and shared capabilities.
- Collaborate with business leaders, product teams, and engineering groups to define scalable, secure, and high-performance AI solution architectures.
- Establish and evolve enterprise architecture standards, reference models, and guardrails for AI systems and AI-enabled development practices.
- Evaluate emerging AI technologies and define adoption strategies for tools, frameworks, and platforms.
- Provide architectural guidance for LLM-based applications, agentic workflows, AI orchestration, evaluation frameworks, and observability systems.
- Ensure AI solutions comply with enterprise requirements for security, privacy, compliance, resilience, and maintainability.
- Support engineering teams in adopting AI-powered software development practices across the product lifecycle.
- Lead architecture reviews, contribute to technical strategy discussions, and influence investment decisions in AI and platform modernization.
- Mentor senior engineers and technical leaders while contributing to the overall architecture maturity of the organization.
View Full Description & ApplyYou'll be redirected to the employer's site
