Sr Technical Analyst ( Go-To-Market and AI Technologies) (Salesforce/Azure) Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities Title : Senior Technical Analyst (Go-To-Market and AI Technologies) (Salesforce/Azure) Education Requirements: Minimum 4 Year / Bachelor's degree in computer science, information technology, engineering, or related field. Experience : • • 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. • Experience leading 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. • Campaigns, account-based marketing, lead management, digital engagement, and attribution. • Proposals, RFPs, pricing, approvals, contracting, and document generation. • • 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. • Experience integrating CRM, customer-data platforms, data lakes, content repositories, marketing platforms, sales-enablement tools, and deal-management systems. • Experience leading internal engineers, external partners, and multidisciplinary delivery teams. • Demonstrated success modernizing platforms, reducing technical debt, improving reliability, and transitioning solutions into sustainable operational support. • Experience operating in a complex, global, or regulated enterprise environment is preferred. • AI Skills • 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. • Technical Skills • Strong solution- and integration-architecture skills, including APIs, event-driven patterns, middleware, authentication, authorization, and identity management. • Strong understanding of data architecture, master data, data quality, lineage, metadata, and governance. • Experience with cloud architecture, software engineering standards, source control, automated testing, CI/CD, DevSecOps, and release management. • Ability to establish nonfunctional requirements for security, scalability, availability, maintainability, performance, and disaster recovery. • Experience diagnosing complex production issues and establishing monitoring, incident-management, and support processes. • Ability to evaluate configuration, custom development, platform capabilities, and third-party products and recommend the appropriate approach. • Working knowledge of Ag