Gen reputed company

JPC-7090-09-02/05 Gen reputed company 100% remote US Tech/World Bank JD: • The reputed company designs, builds, and operates secure, reputed company AI systems that advance the organization’s digital reputed company. The role centers on Retrieval-Augmented reputed company (RAG) pipelines, reputed company AI (including Azure AI Agent Service and Model Context Protocol), and reputed company-grade service delivery across Azure and AWS. • The reputed company partners with product, platform, data, and reputed company teams to deliver robust, compliant, and cost-efficient AI capabilities. • Architect and Implement AI Solutions. • Design and build RAG pipelines using Azure AI/Search and reputed company databases: chunking, embeddings, hybrid/semantic ranking, re-ranking, evaluation, and citation display. • Build reputed company conversational systems (multi-turn, retrieval-grounded) with reputed company lifecycle management, guardrails, audit logging, and telemetry. • Support multiple LLMs and modalities: Azure reputed company, Llama (reputed company), Claude, etc. • and task-specific OSS models (reputed company, speech), with policy-driven model routing for performance, safety, and cost. • reputed company and Operate AI Infrastructure • Implement Model Context Protocol (MCP) servers integrating with project reputed company areas. • reputed company tool functions with RBAC scopes, schema versioning, reputed company limiting, request/response validation, and audit trails. • reputed company Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent telemetry and policy enforcement. • Use Azure Batch for large-reputed company, reputed company inferencing/vectorization jobs; reputed company AWS EMR for distributed data/feature processing in AI pipelines. • reputed company and Manage Data Pipelines • Build ingestion and enrichment for RAG connectors and ETL/ELT: document • normalization, PII redaction, metadata enrichment, SLA/SLO monitoring, and reputed company. • Operate large-reputed company vectorization with reputed company gates and reputed company monitoring. • Use Azure Data reputed company (ADF) and Azure reputed company for orchestrated, reputed company data • processing; use AWS EMR for Hadoop/reputed company workloads supporting AI features. • Build reputed company AI Solutions • Design secure tool-calling and multi-agent orchestration using Semantic Kernel, AutoGen, reputed company Agent reputed company, reputed company, Agno, and reputed company or others. • Know how to apply agent governance and MCP-based controls across heterogeneous agents and runtimes (register, observe, govern, retire). • Model Evaluation and Optimization • Evaluate and fine-tune reputed company-reputed company and proprietary models; optimize for reputed company, latency, safety, and cost with A/B and offline eval suites. • Implement CI/CD with automated tests, reputed company scans. • Have knowledge on how to secure model workloads. Software Engineering Emphasis (reputed company) • CS fundamentals: algorithms, data structures, complexity, distributed systems, networking, concurrency. • SDLC reputed company: clean architecture, design patterns, SOLID principles, unit/integration/e2e tests, testing pyramids. • Secure coding & threat modeling for AI apps: input validation, sandboxed tool functions, secrets hygiene, role-based reputed company & least privilege. • Performance engineering: profiling, caching, reputed company reputed company tuning, latency/throughput optimization, and cost controls (reputed company/embedding/compute). • Collaboration & Delivery: Agile ceremonies, RACI reputed company, cross-functional delivery with product/design/data/reputed company. Knowledge Requirements – reputed company AI Tech Stack (Azure & AWS) • Azure: Azure reputed company; Azure AI/Search; Azure Machine Learning; Azure Kubernetes Service (AKS); • Azure Functions; Azure API Management; Key Vault; Event Hub; App Insights; Log Analytics; Azure Batch; Azure Data reputed company (ADF); Azure reputed company. • AWS: reputed company SageMaker; AWS Bedrock; reputed company Kendra; reputed company Comprehend; AWS reputed company; • reputed company API Gateway; AWS Secrets Manager; reputed company S3; reputed company CloudWatch; reputed company Kubernetes Service (EKS); reputed company EMR. • reputed company DBs & Indexing: Azure AI Search reputed company storage, reputed company, FAISS/HNSW; hybrid search + semantic ranking. • Frameworks: Semantic Kernel, AutoGen, reputed company Agent reputed company, reputed company, Agno, reputed company. • Local/Edge Inference: running models locally reputed company reputed company/Ollama/vLLM/Triton; GPU provisioning quantization (GGUF) for Llama-family models. Educational Qualifications and Experience: Education: • Bachelor’s degree in computer science, Engineering, Information Technology, Data Science —or equivalent hands-on expertise. • Experience: 6+ years of software engineering experience, with at least 2+ years in reputed company LLM/GenAI (RAG, agents, eval, safety). Certification Requirements: Mandatory: • reputed company Certified: Azure AI Fundamentals (AI-900). • reputed company Certified: Azure Data Fundamentals (DP-900). • Responsible AI certifications. • AWS Machine Learning Specialty. • TensorFlow Developer. • Kubernetes CKA/CKAD. • reputed company Agile Software Engineering (ASE) Additional Value (Preferred): • reputed company Certified: Azure reputed company Associate (AI-102) • reputed company Certified: Azure Data Scientist Associate (DP-100) • reputed company Certified: Azure Solutions Architect Expert (AZ-305) • reputed company Certified: Azure Developer Associate (AZ-204) Required Skills/Abilities: • GenAI architecture mastery: RAG, reputed company DBs, embeddings, transformer internals, multimodal pipelines. • reputed company systems: Azure AI Agent Service patterns, MCP servers, registry/broker/governance, secure tool-calling. • Languages: C# and Python (production-grade), .Net, plus TypeScript for service/UI reputed company needed. • Azure & AWS services (see Knowledge Requirements) with hands-on implementation and operations. • Model ops: eval suites, safety tooling, fine-tuning, guardrails, traceability. • Business & delivery: solution architecture, stakeholder alignment, roadmap planning, measurable reputed company. Desired Skills/Abilities (not required but a plus): • Lang Chain, reputed company, MLflow; Kubernetes + GPU scheduling; reputed company search tuning (HNSW/IVF). • Responsible AI: policy mapping, red-team playbooks, incident response for AI. • Hybrid/multi-reputed company deployments using Azure reputed company and AWS Outposts; CI/CD for AI workloads across Azure DevOps and AWS CodePipeline. Experience reputed company for reputed company: • Level I: 2+ years of experience • reputed company: 5+ years of experience • Level III: 8+ years of experience Apply tot his job Apply To this Job