AI Solutions Engineer Job at NTT DATA (Bangalore)

AI Solutions Engineer

NTT DATA

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

The AI Solutions Engineer at NTT DATA will be responsible for developing and deploying AI models, ensuring secure integrations with enterprise systems, and optimizing data pipelines. Candidates should have 4-6 years of experience in AI and machine learning solutions, with strong proficiency in Python and cloud platforms. A bachelor’s degree in a relevant field is required, and preferred certifications include various Microsoft Azure certifications. This role offers a hybrid working environment and emphasizes ethical AI practices and stakeholder engagement.

Job Responsibility:

Develop, fine-tune, and deploy AI models, including large language models (LLMs) such as GPT-4 or open-source equivalents
Design and implement effective prompt engineering strategies and optimizations to enhance AI accuracy, consistency, and reliability
Engage with internal stakeholders and clients to understand business needs, translating them into actionable AI solutions
Rapidly prototype, test, and iterate AI applications using advanced Python programming and relevant frameworks
Integrate AI solutions securely with existing enterprise systems (CRM, ERP, HRIS, finance platforms, collaboration software) via API development and integration
Build, maintain, and optimize end-to-end data pipelines to ensure accurate and timely data delivery for AI models
Manage structured and unstructured datasets, leveraging vector databases and semantic search to enhance knowledge management capabilities
Deploy, manage, and scale AI solutions within cloud computing environments (Azure, AWS, GCP), ensuring high availability, performance, and cost efficiency
Implement DevOps and MLOps practices, including automated deployment, testing, monitoring, and version control, to efficiently manage the AI model lifecycle
Ensure AI solutions adhere to industry standards and compliance regulations (GDPR, HIPAA), emphasizing security and privacy best practices
Identify and mitigate risks associated with AI deployments, proactively addressing ethical considerations, biases, and unintended consequences
Collaborate closely with business and functional teams to streamline processes through intelligent automation and deliver measurable business outcomes
Provide clear documentation of technical designs, project plans, and operational procedures
Contribute to the continuous improvement of AI best practices, methodologies, and internal frameworks
Stay abreast of the latest AI and machine learning developments, continuously evaluating emerging technologies and methodologies

Requirements:

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
Demonstrated experience (typically 4-6 years) developing, deploying, and maintaining AI and machine learning solutions in enterprise environments
Hands-on expertise in AI model development, fine-tuning, and optimization using Python and relevant frameworks
Demonstrated experience implementing prompt engineering methodologies and optimizing model performance
Demonstrated experience in API development and secure integration of AI-driven solutions with enterprise systems and platforms
Experience building robust data pipelines, managing structured/unstructured data, and leveraging vector databases
Practical experience deploying and scaling AI applications within cloud platforms (Azure, AWS, or GCP)
Demonstrated success applying DevOps and MLOps best practices to manage AI model lifecycle and deployments efficiently
Proven track record ensuring security, privacy, compliance, and responsible use of AI solutions within regulated environments
Experience engaging directly with clients and stakeholders, translating business requirements into effective technical solutions

Nice to have:

Knowledge of additional programming languages (JavaScript / TypeScript
Java / C#)
Experience with Microsoft Copilot Studio, Azure AI Foundry, and Semantic Kernel
Relevant certifications or training in Machine Learning, AI development, Data Analytics, and Cloud Computing
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Data Scientist Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Power Platform Fundamentals

Additional Information:

Job Posted:
March 13, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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