{"id":3387585,"url":"https://alion.io/job/hcltech-senior-technical-consultant-22","title":"Senior Technical Consultant","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CatBoost","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Explainable AI","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LightGBM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false},{"name":"Apache Kafka","optional":true},{"name":"CrewAI","optional":true},{"name":"GraphRAG","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Kubernetes","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-28T08:26:33Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T16:45:01Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nJob Title: AI Engineer (Machine Learning & Generative AI)\nWe are looking for an experienced AI Engineer with 4-8 years of experience in Machine Learning, Artificial Intelligence, and Generative AI. The ideal candidate will design, develop, and deploy scalable AI solutions across traditional machine learning and GenAI use cases.\nQualifications\nBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or related field.\n4-8 years of experience in AI/ML or Data Science roles.\nStrong Python programming and AWS experience.\nKey Responsibilities\nBuild end-to-end ML solutions for classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization problems.\nPerform feature engineering, model experimentation, hyperparameter tuning, and model evaluation.\nDesign and execute A/B testing and model validation strategies.\nDevelop explainable and auditable ML models for business-critical applications.\nMonitor model performance and support retraining initiatives.\nDesign and develop LLM-powered applications.\nBuild RAG systems using vector databases and enterprise knowledge repositories.\nDevelop AI copilots, intelligent assistants, and agentic workflows.\nImplement prompt engineering, prompt optimization, evaluation frameworks, and guardrails.\nDevelop production-grade AI services, APIs, SDKs, and microservices.\nDesign scalable REST APIs and event-driven architectures.\nApply design patterns, SOLID principles, and clean coding standards.\nWork with Docker, EKS, SNS, SQS, and other AWS services.\nKey Responsibilities\nMust-Have Skills\nPython\nStrong hands-on experience with Python for developing production-grade AI and machine learning applications.\nAbility to write clean, maintainable, and reusable code following software engineering best practices.\nExperience developing APIs, automation frameworks, and AI services using Python.\nSQL & Data Analysis\nStrong proficiency in SQL for data extraction, transformation, and analysis.\nExperience working with large-scale structured and semi-structured datasets.\nAbility to perform exploratory data analysis and derive business insights from data.\nMachine Learning\nStrong expertise in machine learning algorithms and techniques including:\nClassification\nRegression\nClustering\nRecommendation Systems\nForecasting\nAnomaly Detection\nHands-on experience with:\nScikit-Learn\nXGBoost\nLightGBM\nCatBoost\nDeep understanding of:\nFeature Engineering\nModel Evaluation\nHyperparameter Tuning\nCross Validation\nExplainable AI\nDeep Learning & NLP\nPractical experience developing NLP solutions using TensorFlow or PyTorch.\nUnderstanding of transformers, embeddings, and modern NLP techniques.\nExperience with text classification, semantic search, summarization, information extraction, and conversational AI use cases.\nGenerative AI\nHands-on experience building enterprise-grade GenAI applications.\nStrong understanding of:\nLarge Language Models (LLMs)\nPrompt Engineering\nRetrieval-Augmented Generation (RAG)\nAgentic AI Workflows\nStructured Output Generation\nEvaluation Frameworks\nExperience using frameworks such as:\nLangChain\nLangGraph\nAPI & Software Engineering\nExperience designing and developing RESTful APIs and microservices.\nStrong understanding of design patterns, object-oriented programming, and SOLID principles.\nExperience creating reusable AI components, SDKs, and shared libraries.\nAWS Cloud Technologies\nWorking knowledge of AWS services commonly used for AI applications including:\nAmazon EKS\nSNS\nSQS\nLambda\nS3\nAPI Gateway\nAbility to build scalable, cloud-native AI solutions.\nContainerization\nExperience with Docker for packaging and deploying AI applications.\nUnderstanding of container-based application development and deployment.\nVersion Control\nStrong experience with Git and collaborative development workflows including code reviews, branching strategies, and release management.\nSkill Requirements\nGood-to-Have Skills\nApache Spark\nExperience processing large-scale datasets using Spark.\nUnderstanding of distributed data processing and big data workloads.\nAI Agent Frameworks\nExperience with CrewAI or similar multi-agent frameworks.\nUnderstanding of agent orchestration, tool usage, memory management, and autonomous workflows.\nVector Databases\nExperience working with one or more of:\nOpenSearch\npgvector\nKnowledge of embeddings, vector search, and semantic retrieval techniques.\nKnowledge Graphs & GraphRAG\nUnderstanding of knowledge graph concepts and graph-based retrieval techniques.\nExposure to GraphRAG architectures for improving reasoning and explainability.\nEvent-Driven Architecture\nUnderstanding of event-driven design patterns.\nExperience integrating SNS, SQS, Kafka, or similar messaging technologies into AI solutions.\"\nOther 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