7 days ago
USA (city not specified)Senior
Base Salary
$104k - $189k/yr
Responsibilities
- Review data preparation, modeling, deployment, testing, monitoring, documentation, and quality processes for complex analytics and AI use cases.
- Build and refine models and analytics solutions, including forecasting, machine learning, deep learning, LLM-based, and non-ML solutions.
- Define reference architectures, lead solutioning discussions and architecture reviews, and collaborate with enterprise architects, stakeholders, and engineering teams.
- Develop enterprise GenAI and agentic AI solutions involving RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence, and AI copilots.
- Create monitoring strategies, governance frameworks, evaluation standards, reporting templates, and documentation for reliable and reproducible analytics solutions.
- Identify data sources, extract and analyze data from diverse environments, and drive business insights aligned with client and business goals.
- Create analytics prototypes, accelerators, whitepapers, proof-of-concept summaries, and other intellectual property assets.
- Deliver technical training, support knowledge exchanges, create content, and mentor team members through hands-on project guidance.
Requirements
- Bachelor’s degree or foreign equivalent from an accredited institution, with three years of progressive specialty experience considered in lieu of each year of education.
- Enterprise experience with GenAI and agentic AI solutions, including RAG, AI agents, conversational AI, enterprise search, workflow automation, document intelligence, and AI copilots.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, and vector databases such as Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, and Azure AI Search.
- Experience integrating GenAI with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI, Anthropic, Gemini, enterprise APIs, middleware, and data platforms.
- Knowledge of AI governance, LLMOps, evaluation, observability, guardrails, model safety, compliance, and cloud-native deployment.
- Ability to define reference architectures, lead solutioning discussions, conduct architecture reviews, and collaborate with technical and business stakeholders.
- Preferred exposure to Hugging Face, PyTorch, LoRA, QLoRA, PEFT, Llama, Mistral, Gemma, DeepSeek, Falcon, multimodal AI, vision-language models, speech and audio models, and image or video generation.
- Preferred familiarity with GitHub Actions, Jenkins, Terraform, Helm, Kubernetes, React, Angular, TypeScript, and GraphQL.
- Ability to relocate and/or travel to the work or project location.
Benefits
- Medical, dental, vision, and life insurance.
- Long-term and short-term disability coverage.
- Health and dependent care reimbursement accounts.
- Accident, critical illness, hospital indemnity, and legal insurance.
- 401(k) plan with contributions dependent on salary level.
- Paid holidays and paid time off.
- Full-time employment; relocation and/or project travel may be required.
Tech Stack
Categories
Solutions Engineering
About Infosys
Infosys is a public IT services and consulting company that builds and runs software systems for large enterprises across industries. It provides consulting, systems integration, cloud and AI services, engineering, and business process outsourcing, and sells platforms such as EdgeVerve's Finacle core banking suite. Founded in 1981 and headquartered in Bangalore, it serves clients in 50+ countries and is listed on the NSE, BSE, and NYSE.