{"id":4010370,"url":"https://alion.io/job/htc-global-services-artificial-intelligence-engineer","title":"Artificial Intelligence Engineer","company":{"id":4199,"name":"HTC Global Services","domain":"htcinc.com","url":"https://alion.io/company/htc-global-services","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","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":["Hyderabad, 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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"DynamoDB","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI","optional":true},{"name":"Scrum","optional":true},{"name":"Semantic Search","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-10T09:35:30Z","employer_posted_date":null,"last_verified_at":"2026-11-10T09:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a highly skilled AI Engineer to design, develop, and deploy enterprise-scale AI solutions that solve complex business problems across the organization. This role will focus on Generative AI, Large Language Models (LLMs), Prompt Engineering, Agentic AI systems, Machine Learning, Data Science, and cloud-native engineering on AWS.\n\nThe ideal candidate will have strong hands-on experience in building intelligent applications end to end, including data preparation, model development, prompt design and optimization, orchestration of agentic workflows, deployment automation, infrastructure provisioning, monitoring, and production support. This role requires close collaboration with business stakeholders, data teams, architects, platform teams, and engineering partners to rapidly advance AI adoption in a secure, scalable, and business-aligned manner.\n\nThe successful candidate will act as a problem solver, trusted consultant, and technical leader, capable of translating business problems into practical AI solutions. This role will also be responsible for ensuring that AI solutions are production-ready, observable, cost-efficient, and aligned with enterprise governance, risk, and compliance expectations.\n\nResponsibilities include but are not limited to:\nDesign, develop, and deploy enterprise AI solutions using LLMs, Prompt Engineering, Agentic AI frameworks, classical Machine Learning, and Data Science techniques.\nBuild intelligent applications such as RAG-based systems, AI copilots, conversational assistants, autonomous or semi-autonomous agent workflows, document intelligence solutions, and NLP-driven applications.\nDesign and optimize prompts for enterprise use cases, including prompt templates, chaining strategies, structured outputs, instruction tuning patterns, context control, and response optimization.\nDevelop and maintain data pipelines for structured and unstructured data to support model training, retrieval, inference, analytics, and evaluation workflows.\nImplement and manage retrieval pipelines, embeddings, vector search, tool calling, memory strategies, and orchestration logic for LLM-powered applications.\nFine-tune, evaluate, optimize, and monitor AI/ML models and LLM-based systems for performance, accuracy, explainability, scalability, reliability, and cost efficiency.\nCollaborate with business stakeholders and cross-functional teams to understand business requirements, define AI opportunities, structure hypotheses, and translate them into scalable technical solutions.\nBuild and manage AI solution infrastructure on AWS, leveraging services such as S3, Lambda, EKS/ECS, API Gateway, IAM, CloudWatch, RDS, DynamoDB, OpenSearch, Bedrock, and other approved cloud services as applicable.\nProvision and manage infrastructure using Terraform/Scalr, ensuring secure, repeatable, and scalable deployments across environments.\nImplement observability, evaluation, monitoring, feedback loops, and guardrails for enterprise AI applications to ensure quality, safety, and continuous improvement.\nPartner with architecture, platform, DevOps, security, and governance teams to ensure AI solutions meet enterprise standards for security, compliance, resiliency, and operational support.\nLead technical design discussions, code reviews, solution architecture decisions, and engineering best practices for AI application development.\nSupport MLOps / LLMOps capabilities including CI/CD, model and prompt versioning, automated testing, deployment automation, runtime monitoring, and production incident response.\nCommunicate technical findings, model behaviour, solution risks, and business impact clearly to leadership, stakeholders, and partner teams.\nMentor junior engineers and data scientists while contributing to reusable frameworks, accelerators, and standards for AI engineering across the firm.\n\nRequired Skills:\nBachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field.\nHands-on experience in Python and software development for AI, ML, data engineering, or cloud-based applications.\nExperience in Machine Learning / Data Science, including feature engineering, model training, experimentation, evaluation, and deployment.\nExperience in LLMs / Generative AI use cases such as prompt engineering, prompt optimization, RAG, embeddings, vector databases, evaluation frameworks, and guardrails.\nStrong experience with Prompt Engineering, including prompt design patterns, prompt chaining, instruction design, context-window optimization, role/task prompting, structured response generation, and prompt tuning for enterprise use cases.\nStrong understanding of Agentic AI patterns, including multi-step reasoning workflows, tool usage, memory/context handling, orchestration frameworks, and autonomous task execution.\nStrong experience with AWS cloud services for developing, deploying, and managing scalable AI/ML and data-driven applications.\nHands-on experience with Terraform and/or Scalr for infrastructure as code and environment provisioning.\nExperience with APIs, microservices, and containerized deployments in enterprise environments.\nExperience with SQL and NoSQL databases, vector databases, and data integration across structured and unstructured sources.\nStrong knowledge of software engineering fundamentals including version control, testing, CI/CD, secure coding, code reviews, and release management.\nExperience presenting technical solutions, results, and recommendations to business stakeholders and leadership.\nStrong analytical thinking, problem-solving, communication, and cross-functional collaboration skills.\n\nPreferred Skills:\nExperience in financial services, investment management, compliance, risk, or other regulated enterprise environments.\nExperience with MLOps / LLMOps tools and practices for deployment, monitoring, evaluation, and lifecycle management of AI systems.\nFamiliarity with frameworks and tools such as LangChain, LangGraph, LlamaIndex, Hugging Face, OpenAI APIs, Amazon Bedrock, MLflow, Airflow, Spark, or similar technologies.\nExperience designing and optimizing prompts for RAG workflows, agentic systems, tool calling, reasoning tasks, workflow automation, and domain-specific enterprise AI applications.\nExperience with semantic search, vector retrieval, document intelligence, conversational AI, and knowledge-grounded AI systems.\nKnowledge of Responsible AI, model governance, explainability, bias detection, risk controls, and enterprise AI safety practices.\nExperience working in Agile / Scrum delivery models.\nExperience leading or mentoring teams and driving implementation across multiple stakeholders.\nAdvanced expertise in AI/LLMs with strong hands-on experience in end-to-end model development and deployment.\nSolid data engineering background with experience in building and managing complex, large-scale data systems.\nProven ability to work effectively in large, collaborative teams within fast-paced, enterprise environments.\n\nKey Competencies:\nStrong ownership and accountability for end-to-end delivery\nAbility to translate ambiguous business problems into practical AI solutions\nStrong collaboration across engineering, product, business, and governance teams\nTechnical leadership in solution design and implementation\nStrong communication and stakeholder management skills\nContinuous learning mindset with focus on emerging AI technologies and best practices\nSkills\nData Science, Generative AI, LLMs, Large Language Models, Machine Learning, Python","description_format":"text","description_chars":7532,"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":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-10T09:35:30Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["seen:0","win:early"],"computed_at":"2026-11-10T10:47:15Z"},"pay":null,"html_url":"https://alion.io/job/htc-global-services-artificial-intelligence-engineer","json_url":"https://alion.io/job/htc-global-services-artificial-intelligence-engineer.json","meta":{"generated_at":"2026-11-10T10:47:15Z","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":25058,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4199},"rest":"https://alion.io/mcp/rest/get_company?id=4199"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhtc-global-services-artificial-intelligence-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fhtc-global-services-artificial-intelligence-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fhtc-global-services-artificial-intelligence-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/htc-global-services-artificial-intelligence-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhtc-global-services-artificial-intelligence-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4010370}},{"tool":"search_jobs","arguments":{"company":"htcinc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4010370},"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. Docs: https://alion.io/developers"}}