3 months ago
Pune, IndiaSenior
Responsibilities
- Design, develop, and deploy AI-powered Salesforce solutions using Agentforce, Einstein AI, Einstein Copilot, and Einstein Bots.
- Build and configure Agentforce agents, including topics, actions, and instructions for complex workflow automation.
- Develop Apex, Lightning Web Components, and Salesforce Flows to extend Salesforce AI capabilities.
- Create prompt templates and Prompt Builder configurations for generative AI features.
- Integrate Salesforce with external LLMs and AI/ML platforms through REST and SOAP APIs.
- Collaborate on governed Salesforce Data Cloud pipelines and unified customer profiles for AI personalization and automation.
- Translate business requirements into scalable Salesforce solutions and communicate solution options, risks, dependencies, and progress.
- Conduct code reviews, apply Salesforce engineering best practices, and mentor less experienced developers.
- Monitor and optimize AI model performance, agent behavior, automation outcomes, reliability, scalability, and operational resilience in production.
- Evaluate Salesforce AI releases and recommend adoption strategies.
- Lead moderately complex to complex engineering work, guide design decisions, troubleshoot issues, perform root cause analysis, and contribute to Agile/Scrum planning and retrospectives.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or a related field, or equivalent work experience.
- At least 5 years of hands-on Salesforce development experience and at least 4 years of experience in software engineering, systems engineering, application development, platform engineering, or a related field.
- Proficiency with Apex, Lightning Web Components, SOQL/SOSL, and Salesforce Flow.
- Hands-on experience with Salesforce Einstein AI features and Agentforce agent development or configuration.
- Strong understanding of Prompt Builder and generative AI prompt engineering within Salesforce.
- Experience integrating Salesforce with external AI/ML services through REST and SOAP APIs.
- Familiarity with Salesforce Data Cloud or similar customer data platforms, Salesforce data and security models, and governor limits.
- Experience with Salesforce DX, Git, and CI/CD deployment pipelines.
- Active Salesforce Certified Platform Developer I and Salesforce Certified AI Associate or AI Specialist certification.
- Preferred qualifications include Salesforce Platform Developer II and Salesforce Data Cloud Consultant certifications; experience with OpenAI GPT, Azure OpenAI, Anthropic Claude, vector databases, RAG, embedding models, responsible AI, Salesforce Shield, and large multi-cloud Salesforce organizations; and healthcare, pharmaceutical, or life sciences experience.
- AWS Certified Cloud Practitioner, Azure Fundamentals, RHCSA, or equivalent certification is preferred.
- Knowledge of software and systems engineering, application architecture, integration patterns, testing, debugging, version control, deployment, performance, reliability, secure design, observability, and production support practices.
- Ability to work independently, exercise technical judgment, influence technical direction, mentor engineers, and communicate effectively with technical and non-technical stakeholders.
Benefits
- Full-time position.
- Benefits outside the US may vary by country and follow local market practice; eligibility and effective dates may vary, including for employees covered by collective bargaining agreements.
Categories
About Cencora
Cencora is a global pharmaceutical distributor and services company that links drug manufacturers with pharmacies, hospitals, and other providers, and supports product commercialization and specialty logistics. It earns revenue from wholesale distribution and fee-based services spanning supply chain, market access, and patient-support programs. Formerly AmerisourceBergen, it is a Fortune 10 public company on the NYSE, headquartered in Pennsylvania, serving both human and animal health markets.