Senior Salesforce Data Cloud & AI Architect (Life Sciences)

Accenture PLC; New York (NY); On-site; USD 123,000 - 302,000; Full time

Job summary

Accenture seeks a senior Data Cloud and AI Architect for its Life Sciences Salesforce Business Group. You will design enterprise-scale Data Cloud and agentic AI solutions, lead pre‑sale and delivery, and guide architecture governance for multi-year programs.

You will own end-to-end architecture across Data 360, identity resolution, and CRM integration patterns, mentoring teams and shaping proposals while collaborating with clients at senior levels.

Qualifications

• Minimum of 8 years of 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

Data Cloud architecture

Agentforce & Voice AI

Data 360 strategy

CRM integration architecture

Pre-sale solutioning

Design governance

Team leadership

Practice development

Education

Bachelor’s degree in Computer Science or Engineering

Tools

MuleSoft

REST/SOAP

event-driven patterns

Job description

Accenture seeks a senior Data Cloud and AI Architect for its Life Sciences Salesforce Business Group. You will design enterprise-scale Data Cloud and agentic AI solutions, lead pre‑sale and delivery, and guide architecture governance for multi-year programs.

You will own end-to-end architecture across Data 360, identity resolution, and CRM integration patterns, mentoring teams and shaping proposals while collaborating with clients at senior levels.