Solution Architect

Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value. 

Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability. 

With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation. 

In this role, you will be leading Veeva Vault CRM to Salesforce migration project. You are fluent in Salesforce Data Cloud, Agentforce, and Life Sciences CRM platforms. You thrive in complexity: multi-workstream programs, distributed teams, and client environments where the data is messy, the timelines are tight, and the architecture decisions matter. You bring clarity to ambiguous technical problems and lead junior team members without waiting to be asked.

The Work

• Solution design ownership — lead end-to-end solution design across assigned workstreams, including data model, integration patterns, security model, and platform configuration; keep SDDs, architecture decision records, and data flow diagrams current throughout delivery
• Agentforce & AI delivery — own technical design and build for Agentforce use cases — patient services agents, HCP engagement agents, Voice AI integrations — across active Life Sciences programs
• Data Cloud workstreams — lead Data Cloud implementation tracks including data ingestion, identity resolution, unified profile design, segmentation, and activation; identify and resolve data quality and governance issues
• Integration delivery — design and implement integrations between Data Cloud, CRM, external data sources, and Agentforce capabilities; make architecture tradeoffs across middleware options (MuleSoft, REST/SOAP, Salesforce Connect)
• Bridge function — serve as the connective layer between functional requirements and technical delivery; align architects, developers, and client stakeholders on design decisions and scope boundaries
• Technical leadership — lead design sessions, code reviews, and deployment governance; manage solution risks, design gaps, and cross-workstream dependencies; escalate proactively