{"id":1272770,"url":"https://alion.io/job/wsne-consulting-team-lead","title":"Team lead","company":{"id":3801559,"name":"WSNE Consulting","domain":"wsneconsultancy.com","url":"https://alion.io/company/wsne-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","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":{"min_usd":14000,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"PoC Library","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Snowflake","optional":false},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-08-31T11:51:02Z","employer_posted_date":null,"last_verified_at":"2026-08-31T11:51:02Z","board_verified":false,"closed_at":null,"days_open":48,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":48},"description":"Job Description :\n\nWe are looking for an experienced GenAI Team Lead to lead the design, development, and deployment of enterprise Generative AI solutions. The ideal candidate will combine strong hands-on expertise in Python, LLMs, RAG, AI agents, prompt engineering, and cloud AI platforms with the ability to technically lead a team and drive solutions from PoC to production.\n\nThe role will involve working closely with Data Scientists, ML Engineers, software engineers, architects, and business stakeholders to build scalable, secure, and production-ready AI applications.\n\nKey Responsibilities :\n\n- Lead the design and development of Generative AI applications for enterprise use cases such as chatbots, summarization, intelligent automation, knowledge assistants, and decision support.\n\n- Provide technical leadership to a team of AI/ML engineers and developers and guide them on architecture, development, testing, and deployment practices.\n\n- Develop and integrate LLM-powered applications using Python and modern GenAI frameworks.\n\n- Design and implement RAG pipelines, including document processing, chunking, embeddings, vector search, retrieval, reranking, and response generation.\n\n- Work with vector databases and optimize retrieval strategies for accuracy, relevance, and performance.\n\n- Develop and orchestrate AI agents and multi-step agentic workflows for enterprise automation.\n\n- Apply prompt engineering techniques including zero-shot, few-shot, structured prompting, and prompt optimization.\n\n- Work with frameworks and libraries such as LangChain, Hugging Face, OpenAI, Pydantic, Pandas, and NumPy.\n\n- Design and implement APIs and backend services using FastAPI and Python.\n\n- Develop, evaluate, and optimize LLM and ML solutions based on accuracy, latency, reliability, scalability, and cost.\n\n- Deploy and manage AI solutions using cloud platforms such as Azure, AWS, or GCP, with hands-on exposure to services such as Azure OpenAI, Azure AI/ML, Azure Functions, AWS Bedrock, SageMaker, and Lambda.\n\n- Integrate GenAI applications with enterprise APIs, data platforms, Snowflake, databases, and business workflows.\n\n- Lead AI PoCs and convert successful solutions into scalable, production-ready implementations.\n\n- Define technical standards and best practices for GenAI development, model evaluation, security, and deployment.\n\n- Collaborate with Data Science, Data Engineering, ML Engineering, Product, and business teams to translate requirements into technical solutions.\n\n- Monitor production AI applications and proactively address performance, reliability, security, and cost issues.\n\n- Ensure AI solutions follow appropriate security, privacy, governance, and responsible AI practices.\n\n- Conduct technical reviews, mentor team members, and contribute to hiring, capability development, and knowledge-sharing initiatives.\n\nRequired Skills & Experience :\n\n- 6 - 8 years of overall experience, with at least 3+ years of hands-on experience in Generative AI / LLM-based solutions.\n\n- Strong hands-on expertise in Python and AI application development.\n\n- Strong experience with LLMs, RAG, embeddings, vector databases, and prompt engineering.\n\n- Hands-on experience with AI agents / agentic workflows and enterprise AI automation.\n\n- Strong experience with LangChain, OpenAI, Hugging Face, or equivalent GenAI frameworks.\n\n- Experience building APIs and AI services using FastAPI and Pydantic.\n\n- Good understanding of Machine Learning algorithms, model evaluation, training/inference pipelines, and MLOps concepts.\n\n- Experience working with Azure, AWS, or GCP and deploying AI/ML solutions on cloud platforms.\n\n- Hands-on exposure to services such as Azure OpenAI, Azure AI/ML, AWS Bedrock, SageMaker, or equivalent.\n\n- Experience integrating AI applications with enterprise APIs, databases, data platforms, and business applications.\n\n- Strong understanding of AI system design, scalability, security, observability, and cost optimization.\n\n- Experience leading or mentoring engineers and taking ownership of technical delivery.\n\n- Strong analytical, problem-solving, communication, and stakeholder-management skills.\n\nGood to Have :\n\n- Experience with Snowflake, Databricks, or enterprise data platforms.\n\n- Experience with MLOps, model monitoring, evaluation frameworks, and AI governance.\n\n- Experience with Docker, Kubernetes, and CI/CD for AI application deployment.\n\n- Experience with Azure AI Foundry, AWS Bedrock, Amazon SageMaker, or Google Vertex AI.\n\n- Relevant AI/ML or cloud certifications.\n\n- Experience delivering GenAI solutions in enterprise production environments.\nSkills\nGenerative AI, Artificial Intelligence, LLM, RAG, Agentic AI, Machine Learning, LangChain, Python, AWS, MLOps, OpenAI","description_format":"text","description_chars":4743,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.537,"p_room":0.45,"age_days":46,"expected_fill_days":26,"reasons":["seen:46","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/wsne-consulting-team-lead","json_url":"https://alion.io/job/wsne-consulting-team-lead.json","meta":{"generated_at":"2026-10-18T12:00:26Z","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":17964,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":3801559},"rest":"https://alion.io/mcp/rest/get_company?id=3801559"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwsne-consulting-team-lead"},{"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%2Fwsne-consulting-team-lead"},{"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%2Fwsne-consulting-team-lead"},{"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/wsne-consulting-team-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwsne-consulting-team-lead"}]}