Systems Integration Specialist Advisor

Design, develop, and deploy scalable software solutions leveragingmodern architectures and cloud platforms. Build and implement Agentic AI systems (LLM-based autonomous agents, multi-agent frameworks, orchestration workflows) to automate complex business processes. Hands-on experience withGenAI (LLMs, RAG, embeddings, prompt engineering) Experience withtraditional ML(classification, regression, NLP, time-series) Develop andmaintain data engineering pipelines (ETL/ELT) for structured and unstructured data across enterprise systems. Integrate AI models (LLMs, NLP, GenAI) into applications using tools such as Azure OpenAI,LangChain, Semantic Kernel, or similar frameworks. Architect data platforms supportingreal-time and batch processing using technologies like Spark, Databricks, or cloud-native services. Collaborate with cross-functional teams to deliver client demos, POCs, and production-ready solutions . Ensure data quality, governance, and security across all data workflows. Optimizesystem performance, reliability, and scalability across AI and data components. Key Skills & Experience Strong experience in software development (Python6+ yrs) . Hands-on experience with Agentic AI / autonomous agents , including: Multi-agent orchestration Tool usage & reasoning workflows Prompt engineering and memory management 2+years experiencewithGenAI (LLMs, RAG, embeddings, prompt engineering) Data modeling and warehousing Streaming and batch processing Experience with cloud platforms (Azure preferred) and services like: Familiarity with vector databases, embeddings, and RAG architectures . Strong understanding of API design, microservices, and distributed systems . Preferred Qualifications Degree:Bachelor'sin computer science/IT or equivalent program (4 yrs) Experience with GenAI frameworks (LangChain,LlamaIndex, Semantic Kernel). Exposure to MLOps/LLMOpspractices . Experience building enterprise-grade AI copilots or automation solutions . Knowledge of data governance and observability frameworks . What We Expect Ability tooperatein a fast-paced, client-facing environment . Strong problem-solving and ownership mindset. Capability toanticipateproject needs, especially during client demos and critical delivery windows . #J-18808-Ljbffr