AI Engineer

Req ID: 375673

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Engineer to join our team in Bangalore or Remote, Karnātaka (IN-KA), India (IN).

Experience level: 10 + years
Job Summary
Looking for AI engineer to Build, integrate, and operationalize AI/ML models and agent workflows; collaborate with architects and data teams to deploy scalable, production-grade AI solutions. He should have extensive experience building, deploying, and operating enterprise grade AI and machine learning solutions in production. They bring deep expertise in generative AI, large language models, NLP, and multimodal systems, along with strong proficiency in Python or similar languages and modern ML frameworks such as PyTorch or TensorFlow. This individual has a proven ability to architect and operationalize AI solutions in cloud environments like AWS, Azure, or GCP using modern MLOps, CI/CD, containerization, and monitoring practices. They think holistically about AI systems, ensuring seamless integration with enterprise platforms while maintaining high standards for security, governance, and quality. Strong communication skills, cross functional collaboration, and a passion for mentoring other engineers are essential, with experience in regulated environments such as healthcare strongly preferred.
Platform & Enablement Roles
·    AI Platform Admin (M365, copilot Studio) Manages AI platforms and environments, including access provisioning, governance controls, and policy enforcement (e.g., DLP, security, and compliance).
·    AI Reusable Utility Develops reusable components (e.g., prompts, connectors, APIs, templates) to accelerate AI solution delivery and promote standardization across use cases.
·    AI Common Infrastructure, Framework & Observability Architect (AWS and Azure) Designs and maintains the foundational AI infrastructure, frameworks, and observability capabilities (telemetry, monitoring, metrics) required for scalable, reliable, and governed AI operations.
Core Responsibilities
Advanced Solution Development
•    Build, deploy, and optimize LLM based, multimodal, and predictive AI models.
•    Develop intelligent automation to streamline workflows and reduce operational friction.
•    Implement NLP, conversational AI, and real time generative systems across modalities.
AI System Integration & Full Stack Engineering
•    Oversee AI system integration with enterprise platforms, cloud services, APIs, and data pipelines.
•    Architect and maintain production grade ML infrastructure, including CI/CD and monitoring.
•    Operationalize AI/ML models in cloud environments such as AWS, Azure, or GCP.
Governance, Quality & Compliance
•    Ensure AI solutions meet regulatory and internal governance requirements.
•    Implement comprehensive testing frameworks across all system layers.
Collaboration & Mentorship
•    Partner with cross functional teams to deliver robust, production ready AI solutions.
•    Mentor engineers in AI architecture, cloud engineering, and advanced model integration.
•    Provide technical mentorship in prompt engineering, fine tuning, and responsible AI practices.
Required Skills and Experience
•    8+ years of professional experience in data engineering, machine learning engineering, software engineering, or related fields. All relevant experience including work, education, transferable skills, and military experience will be considered.
•    5+ years of experience deploying and maintaining ML/AI models in production at enterprise scale.
•    Advanced proficiency in Python, Scala, or comparable languages.
•    Expertise with cloud architectures (AWS, Azure, GCP), including ML focused services (e.g., SageMaker, AzureML).
•    Strong experience with orchestration and containerization tools such as Kubernetes, Docker, Airflow, etc.
•    Deep understanding of machine learning algorithms, deep learning frameworks (PyTorch, TensorFlow), and NLP technologies.
•    Demonstrated experience with generative AI, multimodal systems, LLM fine tuning, and prompt engineering.
•    Strong SQL and experience with cloud native data ecosystems.
•    Proven ability to architect, deploy, and monitor complex AI/ML solutions in production.
•    Excellent communication, collaboration, and technical leadership skills.

Preferred Skills and Experience
•    Advanced degree in Computer Science, AI, Data Science, Engineering, or a related field.
•    Experience in healthcare, health services, or insurance.
•    Expertise in RAG pipelines, vector databases, and enterprise knowledge systems.
•    Experience with real time streaming systems, edge AI, or high performance model serving.
•    Background in full stack engineering incorporating AI driven user experiences.
•    Professional certifications in cloud architectures or ML/AI technologies.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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