Role: Principal Engineer
Location: India, Remote
Experience: 8-12 Years
Algoworks
www.algoworks.com
About the company
Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.
For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.
At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.
Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.
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Role overview
We are seeking a highly skilled Salesforce Agentforce Architect with Life Sciences Cloud (LSC) experience to lead the design, solutioning and technical oversight of our new subscription-based LSC + Agentforce offering.
The architect will support delivery (standard CRM + EHR data integration) and lead expansion into advanced Customer Engagement, provider visit management, AI-driven workflows and compliance-guarded interactions for HLS clients. This role includes owning architecture, reviewing build quality, guiding offshore teams and collaborating with COE and client-facing stakeholders to ensure the solution is scalable, compliant and repeatable for multiple Life Sciences customers.
Key responsibilities:
1. Solution architecture and design
- Own end-to-end architecture for Salesforce Life Sciences Cloud + Agentforce implementation.
- Define data models for HCP, HCO, Affiliations, Licenses, Interactions, Calls, Visits, Territories and other objects.
- Architect modules: Customer Engagement, provider visit workflows, MSL requests, compliance guardrails, call notes capture and parsing, activity scheduling.
- Design scalable components for demos, subscription-based deployments and repeatable accelerators.
2. Agentforce AI design
- Build and optimize AI workflows including:
- Pre-call AI briefings (“Prepare for Meeting”)
- Knowledge Search Agents and contextual content recommendations
- AI-driven call summaries, task creation, next-step recommendations
Slack- Agentforce GPT workflows
- Calendar-based visit proposals
- Ensure models leverage Salesforce AI, prompts and usage guardrails for HLS context.
3. LSC Expertise and MedPro / EHR data
- Enable and integrate MedPro data within the LSC org.
- Design EHR data ingestion (flat file weekly feeds) for:
- Patient data
- Provider data
- Treatment locations
- Build mapping and cleansing logic suitable for multiple clients.
4. Delivery ownership and governance
- Align with BVLS and Salesforce COE on roles, responsibilities and governance model.
- Work closely with Snehal, Aaron and offshore teams to ensure consistent build quality.
- Provide architectural guidance, reviews, design decisions and escalation support.
- Participate in solution demos, pre-sales sessions and client workshops.
5. Integration architecture
- Design Slack Integrations (Slack GPT + Agentforce prompts).
- Work with integration teams to set up file-based EHR feeds.
- Support future API-based, real-time integrations (if introduced in later phases).
6. Documentation and repeatability
- Create technical design documents, data flow diagrams and solution accelerators.
- Standardize scripts, components and reusable modules for subscription-based rollout.
- Work with pricing team to document technical effort for license + services pricing.
Required skills and qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
Core Salesforce Expertise
- 10+ years of Salesforce experience with strong Service/Sales Cloud expertise
- 3+ years experience with Salesforce Industry Clouds (preferably Life Sciences Cloud)
- Strong hands-on or architectural experience with Agentforce, Einstein AI, Prompt Builder, Knowledge AI, Automation
AI + Agentforce Skills
- Expertise designing AI-powered workflows
- Experience with:
- AI prompt patterns
- Summarization, recommendations
- Next-best-action flows
- Slack GPT integrations
Life Sciences Domain Knowledge
Understanding of:
- HCP/HCO data models
- Field medical workflows
- MSL processes
- Compliance guardrails and consent frameworks
- MedPro or EHR data structures (preferred)
Must have skills:
- Strong Lightning architecture experience
- Apex/LWC understanding (architectural oversight)
- Integration experience (REST, flat-file ingestion, middleware)
- Data modelling and migration
- Designing scalable, multi-tenant offerings
Preferred certifications:
- Salesforce Application Architect / System Architect
- Life Sciences Cloud Cert (if available)
- Agentforce / Einstein AI certifications
- Salesforce Integration Architect
Desired attributes:
- Strong communication and stakeholder engagement
- Ability to work with cross-functional teams (BVLS, COE, Offshore)
- Self-driven with solution mindset
- Ability to mentor development/config teams.
Interview process
2 rounds of discussion.
