{"id":3421428,"url":"https://alion.io/job/ntt-data-technology-consultant-senior-automation-ai-engineer","title":"Technology Consultant - Senior Automation & AI Engineer","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":94,"open_postings":93,"ghost_share":0,"stale_share":0.441,"repost_share":0.011,"time_to_fill_p50_days":17,"computed_at":"2026-10-31T05:58:55Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hugging Face","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"Chroma","optional":true},{"name":"Copilot","optional":true},{"name":"Copilot Studio","optional":true},{"name":"OCR","optional":true},{"name":"Pinecone","optional":true},{"name":"Power Automate","optional":true},{"name":"RAG","optional":true},{"name":"UiPath","optional":true}],"status":"closed","first_seen_at":"2026-10-28T14:13:34Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T21:18:56Z","board_verified":false,"closed_at":"2026-10-30T21:18:56Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"India T&M Special Bonus:\nReq ID: 396166\nNTT 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.\nWe are currently seeking a Technology Consultant - Senior Automation & AI Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN).\nJob Title: Technology Consultant - Senior Automation & AI Engineer\nLocation: Noida/Bengaluru\nOverall Experience: 7-12+ Years\nRole Summary\nWe 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.\nThe 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.\nDay to Day Job Duties\nDesign, develop, and deploy AI-powered automation solutions across business and technology functions.\nIdentify business processes suitable for automation and recommend appropriate AI and automation approaches.\nDevelop intelligent workflows using AI, Machine Learning, Generative AI, and automation platforms.\nBuild and integrate AI services utilizing Large Language Models (LLMs), NLP, and AI-driven decision-making capabilities.\nDevelop Python-based automation frameworks, utilities, APIs, and reusable components.\nIntegrate enterprise systems using REST APIs, web services, databases, and middleware technologies.\nDesign and implement AI assistants, copilots, chatbots, and workflow automation solutions.\nWork with structured and unstructured data for AI model training, inference, and process automation.\nCollaborate with business teams to gather requirements and translate them into technical solutions.\nDevelop prompt engineering strategies and optimize AI model responses for business use cases.\nMonitor AI solution performance, accuracy, reliability, and operational effectiveness.\nImplement security, governance, compliance, and responsible AI best practices.\nConduct troubleshooting, root cause analysis, and performance optimization activities.\nSupport SIT, UAT, deployment, production rollout, and post-production support activities.\nParticipate in Agile ceremonies including sprint planning, backlog grooming, design reviews, and retrospectives.\nMentor junior engineers and provide technical guidance on AI and automation best practices.\nBasic Qualifications\n7-12+ years of experience in Software Engineering, Automation Engineering, AI Engineering, or related fields.\nStrong hands-on experience with Python development and automation frameworks.\nExperience delivering AI, Machine Learning, or Generative AI solutions in enterprise environments.\nExperience integrating applications using APIs, databases, and cloud services.\nStrong understanding of automation architectures and workflow orchestration concepts.\nExperience working with cloud-native applications and modern development practices.\nStrong analytical, problem-solving, and communication skills.\nExperience working in Agile/Scrum delivery environments.\nCore Technical Skills\nProgramming: Python, SQL, JavaScript\nGenerative AI: OpenAI, Azure OpenAI, Claude, Gemini, LLM Integration\nAI/ML: Machine Learning, NLP, Model Evaluation, AI Workflows\nPrompt Engineering: Prompt Design, Optimization, AI Response Tuning\nAutomation Development: Workflow Automation, Business Process Automation, Intelligent Automation\nFrameworks & Libraries: LangChain, Semantic Kernel, Hugging Face, AI SDKs\nIntegration Technologies: REST APIs, Web Services, API Integrations\nData Technologies: SQL, Vector Databases, Data Processing, Data Validation\nCloud Platforms: Azure, AWS, GCP\nDevOps & CI/CD: Git, Azure DevOps, GitHub Actions, Jenkins\nSecurity & Governance: Responsible AI, Data Privacy, Access Controls\n Methodologies: Agile, Scrum, SDLC\nNice to Have\nExperience with Microsoft Copilot, Copilot Studio, Power Platform, or Power Automate.\nExperience building AI Agents, AI Assistants, and Autonomous Workflows.\nKnowledge of Retrieval-Augmented Generation (RAG) architectures.\nExperience with Vector Databases such as Pinecone, Chroma, or Azure AI Search.\nExperience with document intelligence, OCR, and intelligent document processing solutions.\nExposure to Data Engineering, Analytics, and Data Science projects.\nExperience implementing AI governance and compliance frameworks.\nKnowledge of MLOps, model deployment, and monitoring frameworks.\nExperience working on enterprise digital transformation initiatives.\nStrong stakeholder management and consulting skills.\nPreferred Experience Profile\n7-12+ years of Software Engineering, Automation, or AI Engineering experience.\nStrong expertise in Python, APIs, and enterprise automation development.\nHands-on experience with Generative AI, LLMs, and AI-powered solution development.\nExperience designing and implementing intelligent automation frameworks.\nStrong understanding of Prompt Engineering and AI integration patterns.\nExperience working with cloud platforms and scalable enterprise architectures.\nExperience collaborating with business and technical stakeholders.\nAbility to drive AI and Automation initiatives from concept through production deployment.\nStrong communication, leadership, and problem-solving skills.\nPassion for innovation, automation, and AI-driven transformation.\nPreferred Certifications\nMicrosoft Certified: Azure AI Engineer Associate\nMicrosoft Certified: Azure OpenAI Service (preferred)\nAWS Certified Machine Learning Specialty\nGoogle Professional Machine Learning Engineer\nMicrosoft Power Platform Certifications\nUiPath Advanced Developer Certification (if applicable)\nGenerative AI or LLM-related certifications from recognized platforms.\nAbout NTT DATA\nNTT 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.\nWhenever 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.\nNTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. 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