Description
We are seeking a Senior Technical Analyst to join our team, focusing on Go-To-Market and AI Technologies, specifically with Salesforce and Azure.
Job Responsibilities
- Design and deliver AI, machine learning, or generative AI solutions, including production implementations
- Lead architecture, solution design, development, testing, deployment, integration, and ongoing support across multiple products
- Experience delivering technology supporting sales, marketing, and deal-management processes, including prospecting, account planning, opportunity management, pipeline, and forecasting
- Strong experience with Salesforce or a comparable enterprise CRM, including platform architecture, security, automation, data models, APIs, and integrations
- Experience with enterprise AI platforms such as Salesforce Agentforce, Microsoft Copilot/Azure AI Foundry, Databricks, or comparable technologies
- Deep understanding of generative AI architecture, including large language models, agentic workflows, model orchestration, tool calling, and multi-agent patterns
- Experience designing retrieval-augmented generation solutions using structured and unstructured enterprise data
- Knowledge of document ingestion, parsing, chunking, embeddings, vector search, semantic retrieval, metadata, and enterprise knowledge management
- Ability to determine when to use prompting, retrieval, deterministic automation, predictive models, shared agents, or end-to-end AI solutions
- Experience with prompt design, reusable prompt templates, grounding, context management, and response-quality optimization
- Ability to design AI evaluation frameworks covering accuracy, relevance, completeness, groundedness, hallucination, latency, cost, and user acceptance
- Experience implementing human-in-the-loop controls, confidence thresholds, citations, approvals, and exception-handling processes
- Strong knowledge of responsible AI, privacy, intellectual-property protection, model risk, data security, and regulatory controls
- Experience monitoring production AI solutions for quality, drift, usage, performance, cost, and unintended outcomes
- Understanding of model selection and the tradeoffs among commercial models, open models, platform-native AI, and custom development
- Ability to design reusable AI services and patterns that can support multiple GTM products and avoid unnecessary duplication
Requirements
- Minimum 4 Year / Bachelor's degree in computer science, information technology, engineering, or related field
- 5+ years of experience in enterprise application engineering, solution architecture, technical leadership, or related technology roles
- 2+ years designing and delivering AI, machine learning, or generative AI solutions, including production implementations rather than prototypes alone
Get to know Syneos Health
- Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients