Leads the architecture and production implementation of enterprise AI and machine learning solutions. Responsibilities include cloud-native infrastructure, AI security and governance, model monitoring, optimization, lifecycle management, Python API development, and cross-functional technical leadership. The role requires extensive experience designing scalable AI/ML architectures and deploying solutions across AWS, Azure, or Google Cloud.
Summary
We are seeking a seasoned AI/ML Solution Architect to lead the design and implementation of sophisticated artificial intelligence systems within the IT Services sector. This pivotal role involves orchestrating end-to-end machine learning lifecycles, ensuring robust cloud infrastructure, and driving strategic technical decisions that align with business objectives. The ideal candidate will serve as a bridge between complex data science concepts and scalable production environments, delivering secure, high-performance AI solutions that leverage cutting-edge technologies and foster cross-functional innovation.
Responsibilities
- Design and oversee the architecture of comprehensive AI and machine learning solutions from conception to production deployment.
- Establish and enforce AI security protocols and governance frameworks to ensure data integrity and regulatory compliance.
- Architect scalable cloud-native environments utilizing AWS, Azure, or GCP AI services to support high-volume model inference and training.
- Develop strategies for continuous model monitoring, performance optimization, and lifecycle management in live production settings.
- Lead cross-functional initiatives, collaborating with engineering, product, and business teams to translate requirements into technical specifications.
- Engineer efficient Python-based APIs and integration layers to facilitate seamless interaction between AI models and existing enterprise systems.
- Drive the adoption of best practices for building resilient, scalable, and maintainable machine learning pipelines.
Requirements
Requirements:
- Possess 8 to 12 years of professional experience within the IT Services domain, with a significant focus on AI and machine learning technologies.
- Demonstrate deep expertise in designing end-to-end AI/ML architectures suitable for enterprise-scale applications.
- Proven proficiency in cloud platforms, specifically leveraging AI services across AWS, Microsoft Azure, or Google Cloud Platform.
- Strong command of Python programming and API development principles for model integration and service delivery.
- Extensive background in implementing model monitoring mechanisms and optimization techniques for production environments.
- Demonstrated ability to collaborate effectively across diverse teams to deliver complex technical solutions.
- Solid understanding of AI security standards and governance policies to mitigate risks and ensure ethical AI usage.
- Competitive compensation package offering up to ₹30 LPA.
Similar Jobs
Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Provides fund administration, accounting, client service, NAV and fee calculations, investor allocations, reconciliations, payment processing, financial statement preparation, audit coordination, regulatory compliance, and process improvement for assigned client portfolios.
Top Skills:
GenevaInvestranMS Office
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Business Analyst supporting payments and digital journey transformation in retail and global banking. Responsibilities include requirements elicitation, backlog management, Agile delivery, customer channel analysis, MVP prioritization, epic and user story creation, stakeholder collaboration, and full delivery lifecycle support. The role partners with business, technology, operations, risk, legal, compliance, UX, product owners, and solution architects across international markets.
Top Skills:
Browser Front-EndConfluenceJIRAMobile Banking Apps
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Oversee 24x7 incident management to minimize service disruption and restore services within SLA. Coordinate cross-functional teams, set up technical/management bridges, produce post-incident reports, maintain documentation repositories, support problem management, and follow Ericsson business continuity and handover procedures.
Top Skills:
EricollEricsson AccessEricsson BssEricsson CoreEricsson Service LayerEridocEtomGsmItilLteWcdmaWla
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
