Senior Life Sciences Salesforce Data Cloud & AI Architect

Socket.dev

Missouri

On-site

USD 120,000 - 300,000

Full time

4 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Long-term disability
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture’s Life Sciences Salesforce Business Group seeks a senior Data Cloud and AI Architect to design enterprise-scale Data Cloud, Agentforce and CRM integration solutions. You’ll own end-to-end architecture, contribute from pre‑sale through delivery, and mentor teams across multi‑year programs in pharma, biotech, and MedTech.

You will lead architecture discussions, establish standards, and shape reusable patterns while engaging with client stakeholders.

Qualifications

  • Minimum of 8 years progressive Salesforce architecture experience across full-lifecycle implementations in consulting environments.
  • Minimum of 4 years of experience with Data Cloud and deep expertise in data ingestion, identity resolution, segmentation, activation, and Data Cloud governance patterns.
  • Minimum of 1 year of Agentforce and hands-on experience architecting Agentforce solutions, AI-powered workflows, and/or Voice AI deployments.
  • Minimum of 4 years of experience in designing enterprise integrations across CRM, data, marketing, and external platforms (MuleSoft, REST/SOAP, event-driven patterns).
  • Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate’s Degree, must have minimum 6 years work experience

Responsibilities

  • Data Cloud architecture — own end-to-end design of Data Cloud solutions including data model, ingestion strategy, identity resolution, unified profiles, segmentation, and real-time activation for pharma, biotech, and MedTech clients
  • Agentforce & Voice AI — architect agentic AI solutions across patient services, HCP engagement, and commercial operations — including Agentforce Voice deployments, multi-agent orchestration, and AI workflow design
  • Data 360 strategy — define customer and patient 360 strategies that unify structured and unstructured data across CRM, EHR, claims, and third-party sources into actionable intelligence
  • CRM integration architecture — design integration patterns between Data Cloud, Salesforce LSC/Health Cloud, Marketing Cloud, and external platforms; provide architecture governance across workstreams
  • Pre-sale solutioning — lead technical response for RFPs and orals; translate complex AI and data architectures into clear client narratives; own architecture sections of proposals
  • Design governance — conduct solution design reviews, set architecture standards across delivery teams, and manage technical risk across programs
  • Team leadership — mentor architects and technical analysts; guide build quality, code reviews, and delivery standards
  • Practice development — contribute reusable architecture patterns, accelerators, and LS-specific AI use case frameworks to the broader practice

Skills

Salesforce architecture
Data Cloud
Agentforce/Voice AI
CRM integrations

Education

Bachelor’s degree in Computer Science or Engineering

Tools

MuleSoft
REST/SOAP

Job description

Accenture’s Life Sciences Salesforce Business Group seeks a senior Data Cloud and AI Architect to design enterprise-scale Data Cloud, Agentforce and CRM integration solutions. You’ll own end-to-end architecture, contribute from pre‑sale through delivery, and mentor teams across multi‑year programs in pharma, biotech, and MedTech.

You will lead architecture discussions, establish standards, and shape reusable patterns while engaging with client stakeholders.

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