Job description

Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global innovators and Fortune 100 enterprises modernize their architectures, scale operations, and operationalize intelligence across the enterprise. Our core focus centers on transforming advanced AI from proofs-of-concept into production-grade systems. Spanning AI solutions, robust data services, enterprise applications, and product engineering — we tailor our offerings to the distinct operational needs of industries such as healthcare, life sciences, telecom, retail, financial services, and technology. Operating as an extension of our clients' teams, we combine design thinking with technology-agnostic architectures to ensure faster time-to-value and seamless system interoperability. From initial strategy to full-scale deployment, we build intelligent, connected ecosystems that drive sustained enterprise value and redefine the future of transformation. Job Description: 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 • Team development — guide and mentor L8 architects and analysts; set technical standards across the team and build capability in Data Cloud and AI delivery practices • Pre-sale contribution — support estimation, scoping, and staffing conversations during pursuit phases; contribute to architecture sections of RFP responses and orals • Practice contribution — build accelerators, methodology assets, and LS-specific AI use case patterns that scale across the practice What You Need: • Minimum of 10 years of Salesforce delivery experience, with meaningful time in both functional and technical roles on full-lifecycle implementations • Minimum of 4 years’ experience as a Solution Architect or senior technical lead on at least two end-to-end Salesforce programs • Minimum of 2 years working knowledge of data architecture, identity resolution, segmentation, and real-time activation patterns • Experience with Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharma/biotech CRM; understanding of commercial and patient-facing use cases • Experience with Veeva Vault CRM, Veeva CRM, or the Veeva-to-Salesforce migration landscape and integration patterns • Minimum of 1 year hands-on experience designing and implementing Agentforce use cases, including AI-powered workflow automation • Exceptional Integration experience — practical experience designing integrations across CRM, data platforms, and external systems • Minimum of 2 years’ experience in client-facing consulting environments leading technical workstreams in Agile or hybrid delivery frameworks • Bachelor’s degree in Computer Science, Engineering, or equivalent Bonus Points: • Experience designing or delivering Agentforce Voice, contact center AI, or conversational agent solutions in Life Sciences • Agentforce Specialist, Data Cloud Consultant, Sales/Service Cloud Consultant, Health Cloud Accreditation, or Certified Application Architect • Experience managing technical delivery across onshore/offshore distributed teams • Prior experience contributing to RFP responses or solution design in a pursuit context Pay Transparency: At Accellor, we believe in equitable compensation. The base salary for this position is $130,000 to $175,000, and there may be an annual bonus. The actual pay will depend on your skills, experience, and qualifications. The salary range is subject to change. Speak with your recruiter about any questions. Benefits: We strive to offer benefits that support the diverse needs of our employees. Our package includes perks like flexible and discretionary time off, healthcare coverage for you and your loved ones, and a retirement savings plan to help you plan for the future. Additionally, we offer access to flexible spending and health savings accounts, life and AD&D insurance, and opportunities for professional development. Accellor is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics.

Requirements

Must-haves

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
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
Team development — guide and mentor L8 architects and analysts; set technical standards across the team and build capability in Data Cloud and AI delivery practices
Pre-sale contribution — support estimation, scoping, and staffing conversations during pursuit phases; contribute to architecture sections of RFP responses and orals
Practice contribution — build accelerators, methodology assets, and LS-specific AI use case patterns that scale across the practice
Minimum of 10 years of Salesforce delivery experience, with meaningful time in both functional and technical roles on full-lifecycle implementations
Minimum of 4 years’ experience as a Solution Architect or senior technical lead on at least two end-to-end Salesforce programs
Minimum of 2 years working knowledge of data architecture, identity resolution, segmentation, and real-time activation patterns
Experience with Salesforce Life Sciences Cloud, Health Cloud, or equivalent pharma/biotech CRM; understanding of commercial and patient-facing use cases
Experience with Veeva Vault CRM, Veeva CRM, or the Veeva-to-Salesforce migration landscape and integration patterns
Minimum of 1 year hands-on experience designing and implementing Agentforce use cases, including AI-powered workflow automation
Exceptional Integration experience — practical experience designing integrations across CRM, data platforms, and external systems
Minimum of 2 years’ experience in client-facing consulting environments leading technical workstreams in Agile or hybrid delivery frameworks
Bachelor’s degree in Computer Science, Engineering, or equivalent

Nice-to-haves

Experience designing or delivering Agentforce Voice, contact center AI, or conversational agent solutions in Life Sciences
Agentforce Specialist, Data Cloud Consultant, Sales/Service Cloud Consultant, Health Cloud Accreditation, or Certified Application Architect
Experience managing technical delivery across onshore/offshore distributed teams
Prior experience contributing to RFP responses or solution design in a pursuit context

Application prep

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Keywords to mirror

airestagile

Platform: gem
Effort: medium

Benefits

Benefits detected in the listing.

Professional Development