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 is responsible for developing and deploying AI models, engaging with stakeholders to translate business needs into actionable AI solutions, and ensuring secure integrations with enterprise systems. Candidates should have a strong background in Python, AI, and cloud platforms like Azure, AWS, and GCP, with a focus on ethical AI considerations. A bachelor’s degree in a relevant field is required, along with 4-6 years of experience in AI and machine learning solutions.

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
Demonstrated understanding of artificial intelligence, natural language processing (NLP), and machine learning principles
Expertise in selecting, fine-tuning, and deploying large and small language models (LLMs/SLMs), such as OpenAI’s GPT series and open-source alternatives
Specialist proficiency in Python programming
Familiarity with full-stack software development, including frontend and backend integration, user experience considerations, and system interoperability
Robust knowledge of data pipeline development, data engineering concepts, and handling of structured and unstructured data
Proficiency in cloud computing platforms (Azure, AWS, GCP), particularly in deploying, scaling, and managing AI workloads
Awareness and application of security, compliance, and risk management practices related to AI solutions
Understanding of ethical AI considerations, bias mitigation, and responsible AI deployment
Demonstrated domain and business acumen, capable of aligning technical solutions with business strategies and processes for measurable impact
Excellent communication skills, ability to clearly articulate technical concepts to non-technical stakeholders
Strong analytical problem-solving capabilities, organizational skills, and attention to detail
Ability to manage multiple projects simultaneously, prioritize tasks effectively, and meet deadlines in a fast-paced environment
Passionate about continuous learning, innovation, and keeping abreast of industry trends

Nice to have:

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

What we offer:

Workplace embraces diversity and inclusion
A place where you can grow, belong and thrive

Additional Information:

Job Posted:
March 13, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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