Technology Consultant - Senior Automation & AI Engineer

India T&M Special Bonus:

Req ID: 396166

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 Technology Consultant - Senior Automation & AI Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).

Job Title: Technology Consultant - Senior Automation & AI Engineer

Location: Noida/Bengaluru

Overall Experience: 7-12+ Years

Role Summary

We are seeking an experienced Senior Automation & AI Engineer with strong expertise in Intelligent Automation, Artificial Intelligence, Generative AI, Process Automation, and Enterprise Solution Development. The ideal candidate will be responsible for designing, developing, and implementing automation and AI-driven solutions that improve operational efficiency, productivity, and business outcomes.

The candidate should possess hands-on experience with Python, AI/ML frameworks, Generative AI platforms, workflow automation, APIs, cloud services, and integration technologies. The role will work closely with Business Stakeholders, Product Owners, Architects, Developers, Data Engineers, and Operations teams to identify automation opportunities and deliver scalable AI-powered solutions.

Day to Day Job Duties

• Design, develop, and deploy AI-powered automation solutions across business and technology functions.
• Identify business processes suitable for automation and recommend appropriate AI and automation approaches.
• Develop intelligent workflows using AI, Machine Learning, Generative AI, and automation platforms.
• Build and integrate AI services utilizing Large Language Models (LLMs), NLP, and AI-driven decision-making capabilities.
• Develop Python-based automation frameworks, utilities, APIs, and reusable components.
• Integrate enterprise systems using REST APIs, web services, databases, and middleware technologies.
• Design and implement AI assistants, copilots, chatbots, and workflow automation solutions.
• Work with structured and unstructured data for AI model training, inference, and process automation.
• Collaborate with business teams to gather requirements and translate them into technical solutions.
• Develop prompt engineering strategies and optimize AI model responses for business use cases.
• Monitor AI solution performance, accuracy, reliability, and operational effectiveness.
• Implement security, governance, compliance, and responsible AI best practices.
• Conduct troubleshooting, root cause analysis, and performance optimization activities.
• Support SIT, UAT, deployment, production rollout, and post-production support activities.
• Participate in Agile ceremonies including sprint planning, backlog grooming, design reviews, and retrospectives.
• Mentor junior engineers and provide technical guidance on AI and automation best practices.

Basic Qualifications

• 7-12+ years of experience in Software Engineering, Automation Engineering, AI Engineering, or related fields.
• Strong hands-on experience with Python development and automation frameworks.
• Experience delivering AI, Machine Learning, or Generative AI solutions in enterprise environments.
• Experience integrating applications using APIs, databases, and cloud services.
• Strong understanding of automation architectures and workflow orchestration concepts.
• Experience working with cloud-native applications and modern development practices.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile/Scrum delivery environments.

Core Technical Skills

• Programming: Python, SQL, JavaScript
• Generative AI: OpenAI, Azure OpenAI, Claude, Gemini, LLM Integration
• AI/ML: Machine Learning, NLP, Model Evaluation, AI Workflows
• Prompt Engineering: Prompt Design, Optimization, AI Response Tuning
• Automation Development: Workflow Automation, Business Process Automation, Intelligent Automation
• Frameworks & Libraries: LangChain, Semantic Kernel, Hugging Face, AI SDKs
• Integration Technologies: REST APIs, Web Services, API Integrations
• Data Technologies: SQL, Vector Databases, Data Processing, Data Validation
• Cloud Platforms: Azure, AWS, GCP
• DevOps & CI/CD: Git, Azure DevOps, GitHub Actions, Jenkins
• Security & Governance: Responsible AI, Data Privacy, Access Controls
• Methodologies: Agile, Scrum, SDLC

Nice to Have

• Experience with Microsoft Copilot, Copilot Studio, Power Platform, or Power Automate.
• Experience building AI Agents, AI Assistants, and Autonomous Workflows.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience with Vector Databases such as Pinecone, Chroma, or Azure AI Search.
• Experience with document intelligence, OCR, and intelligent document processing solutions.
• Exposure to Data Engineering, Analytics, and Data Science projects.
• Experience implementing AI governance and compliance frameworks.
• Knowledge of MLOps, model deployment, and monitoring frameworks.
• Experience working on enterprise digital transformation initiatives.
• Strong stakeholder management and consulting skills.

Preferred Experience Profile

• 7-12+ years of Software Engineering, Automation, or AI Engineering experience.
• Strong expertise in Python, APIs, and enterprise automation development.
• Hands-on experience with Generative AI, LLMs, and AI-powered solution development.
• Experience designing and implementing intelligent automation frameworks.
• Strong understanding of Prompt Engineering and AI integration patterns.
• Experience working with cloud platforms and scalable enterprise architectures.
• Experience collaborating with business and technical stakeholders.
• Ability to drive AI and Automation initiatives from concept through production deployment.
• Strong communication, leadership, and problem-solving skills.
• Passion for innovation, automation, and AI-driven transformation.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure OpenAI Service (preferred)
• AWS Certified Machine Learning Specialty
• Google Professional Machine Learning Engineer
• Microsoft Power Platform Certifications
• UiPath Advanced Developer Certification (if applicable)
• Generative AI or LLM-related certifications from recognized platforms.

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, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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