{"id":3690388,"url":"https://alion.io/job/ntt-data-tech-consultant-ai-engineer","title":"Tech Consultant - 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":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":93,"open_postings":110,"ghost_share":0,"stale_share":0.473,"repost_share":0.027,"time_to_fill_p50_days":18,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"AI Agents","optional":true},{"name":"Anthropic","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Function Calling","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"PostgreSQL","optional":true},{"name":"pySpark","optional":true},{"name":"Semantic Search","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-11-03T09:34:53Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T21:58:34Z","board_verified":false,"closed_at":"2026-11-06T21:58:34Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"India T&M Special Bonus:\nReq ID: 397052\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 Tech Consultant - AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).\nJob Title: Tech Consultant - AI Engineer\nRole Summary\nWe are seeking an experienced AI Engineer with strong hands-on expertise in designing, developing, and deploying production-grade AI/ML and Generative AI solutions. The ideal candidate should have strong experience with Python, Machine Learning, LLMs, RAG, APIs, and cloud-based AI platforms.\nThe role will collaborate with Data Scientists, Data Engineers, Software Engineers, Architects, and business stakeholders to develop scalable AI solutions and integrate AI capabilities into enterprise applications.\nDay to Day Job Duties\nDesign, develop, test, and deploy AI/ML and Generative AI solutions for enterprise use cases.\nBuild and integrate LLM-powered applications using enterprise and external data sources.\nDesign and implement Retrieval-Augmented Generation (RAG) solutions.\nDevelop AI services, Microservices, and REST APIs using Python.\nImplement prompt engineering, embeddings, vector search, and context-management techniques.\nDevelop data preprocessing, feature engineering, model training, and evaluation pipelines.\nIntegrate AI models with enterprise applications, APIs, databases, and business workflows.\nEvaluate model and LLM performance for accuracy, quality, latency, reliability, and cost.\nDeploy and operate AI solutions on AWS, Azure, or Google Cloud Platform.\nImplement monitoring, logging, evaluation, and observability for production AI applications.\nDevelop automated testing and CI/CD processes for AI solutions.\nTroubleshoot production AI/ML issues and continuously improve model and application performance.\nCollaborate with business stakeholders to translate business problems into practical AI solutions.\nParticipate in technical design discussions, code reviews, Agile ceremonies, and production releases.\nBasic Qualifications\n5+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.\n3+ years of hands-on experience with Python, Machine Learning frameworks, and production AI/ML development.\n2+ years of experience developing Generative AI, LLM, RAG, or AI-enabled applications.\n2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.\nCore Technical Skills\nProgramming: Python, SQL\nAI/ML: Scikit-learn, PyTorch, TensorFlow or similar\nGenerative AI: LLMs, Prompt Engineering, RAG, Embeddings\nAI Frameworks: LangChain, LangGraph, LlamaIndex or similar\nVector Search: Pinecone, FAISS, Chroma, pgvector or similar\nAPI Development: REST APIs, Microservices\nCloud AI: AWS Bedrock/SageMaker, Azure AI Foundry/Azure OpenAI, or Vertex AI\nData: Data Processing, Feature Engineering, Model Pipelines\nDevOps/MLOps: Git, CI/CD, Model Deployment & Monitoring\nNice to Have\nExperience building Agentic AI solutions and AI agents.\nExperience with tool/function calling and multi-step AI workflows.\nKnowledge of Model Context Protocol (MCP).\nExperience with AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs.\nExperience developing production-grade RAG solutions with retrieval evaluation and optimization.\nKnowledge of vector databases and semantic search.\nExperience with LLM evaluation, tracing, monitoring, and observability.\nKnowledge of AI guardrails, prompt-injection prevention, data privacy, and Responsible AI.\nExperience with Docker and Kubernetes.\nFamiliarity with Databricks, Spark/PySpark, or Snowflake.\nExperience with MLOps and model lifecycle management.\nExperience in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise domains.\nStrong analytical, software engineering, communication, and problem-solving skills.\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. For Pay Transparency information, please click here.","description_format":"text","description_chars":6483,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Health Care","Data Centers & Colocation"],"lifecycle":[{"event":"open","at":"2026-11-03T16:16:36Z"},{"event":"close","at":"2026-11-06T21:58:34Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/ntt-data-tech-consultant-ai-engineer","json_url":"https://alion.io/job/ntt-data-tech-consultant-ai-engineer.json","meta":{"generated_at":"2026-11-07T20:32:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32671,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":50348},"rest":"https://alion.io/mcp/rest/get_company?id=50348"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fntt-data-tech-consultant-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fntt-data-tech-consultant-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fntt-data-tech-consultant-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ntt-data-tech-consultant-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fntt-data-tech-consultant-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3690388}},{"tool":"search_jobs","arguments":{"company":"nttdata.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3690388},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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