AI Technologist and Enterprise Strategist

11 hours ago

Bengaluru, Karnataka, India beBeeTechnologist Full time US$ 1,50,000 - US$ 2,50,000
Job Title: AI Architect and Technology Strategist

We are seeking a seasoned expert in AI technology to lead the development and deployment of production-grade AI solutions. As an AI Architect and Technology Strategist, you will be responsible for designing, implementing, and overseeing ML Ops pipelines that ensure models are versioned, tested, monitored, and deployed securely and reliably.



Key Responsibilities:
  • Technology Delivery & Execution:
    • Own the end-to-end delivery of AI-enabled products, from data ingestion to model deployment and integration into production environments.
    • Lead full-stack development teams, including front-end (React.js, Angular), backend (Python, Node.js, Java), APIs (REST/GraphQL), and microservices architecture (Docker, Kubernetes, Kafka).
    • Architect, implement, and oversee ML Ops pipelines, ensuring models are versioned, tested, monitored, and deployed securely and reliably.
    • Manage high-performance databases (SQL, NoSQL, Graph, Vector DBs) for structured, semi-structured, and unstructured data across AI pipelines.
  • Strategic Technology Oversight:
    • Define and maintain technical blueprints, solution architecture, and delivery plans for enterprise AI solutions.
    • Act as the technical custodian for AI products, aligning with cloud infrastructure and enterprise security policies.
    • Oversee development standards, CI/CD pipelines, observability, and performance tuning for all AI applications.
  • Cross-Functional Collaboration:
    • Partner with Product Management, AI Research, DevSecOps, UX Design, and Data Engineering teams to deliver AI-based features.
    • Ensure alignment between AI experimentation and scalable productionization across business units such as Tax, Audit, ESG, and Advisory.
    • Lead technical governance, code reviews, architectural reviews, and compliance against responsible AI frameworks.
  • Team Leadership & Scaling:
    • Lead a team of senior engineers, AI developers, and data engineers across GDCs and member firms.
    • Mentor staff on technical excellence, agile practices, and delivery accountability.
    • Drive talent acquisition and technical skill development across the AI delivery squads.


Core Competencies & Skills Required:

The ideal candidate will possess deep expertise in AI/ML systems, full-stack engineering, database design, and enterprise technology frameworks, and must demonstrate proven experience in driving AI products from prototype to scaled deployment across global business units.



Qualifications:

- Masters or Ph.D. in Computer Science, Engineering, or related field.

- 14+ years in technology delivery, with 8+ years in AI/ML productization.

- Proven experience delivering AI platforms and digital products at scale.

- Strong leadership in managing distributed engineering teams and AI squads.

- Ability to present and influence at the CXO and Board level on technology vision and delivery health.



KPIs and Success Metrics:

- Delivery of AI products on time, within budget, and with measurable business impact.

- AI solution uptime, model performance (latency, accuracy), and scalability.

- Developer productivity (e.g., PR velocity, commit quality, MTTR).

- AI model governance compliance and audit-readiness.

- Team engagement, retention, and skill advancement across engineering pods.

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