Job Description
We are looking for an experienced and visionary Senior Technical Lead – Agentic AI / Agentforce to lead the architecture, development, and deployment of next-generation AI agent platforms and intelligent automation solutions. The ideal candidate will have deep expertise in Agentic AI frameworks, Salesforce Agentforce, Large Language Models (LLMs), enterprise integrations, and scalable cloud-native architectures.
In this leadership role, you will drive the technical strategy for AI-powered autonomous agents, conversational systems, workflow orchestration, and enterprise AI transformation initiatives. You will collaborate with business stakeholders, solution architects, AI engineers, and product teams to build intelligent systems that improve operational efficiency, customer experience, and decision-making.
The role requires a strong blend of hands-on engineering expertise, technical leadership, enterprise architecture knowledge, and AI innovation capabilities.
Key Responsibilities
- Lead the design, architecture, and implementation of Agentic AI and Salesforce Agentforce solutions for enterprise use cases.
- Build and manage intelligent AI agents capable of reasoning, planning, automation, and multi-agent collaboration.
- Architect scalable AI platforms using LLMs, RAG pipelines, vector databases, and orchestration frameworks.
- Drive integration of Agentforce with Salesforce ecosystem components including:
- Sales Cloud
- Service Cloud
- Data Cloud
- Einstein AI
- CRM workflows
- Design AI-powered customer support, workflow automation, and intelligent decisioning systems.
- Define enterprise AI architecture standards, governance policies, and best practices.
- Lead technical teams in AI application development, deployment, monitoring, and optimization.
- Collaborate with product owners and business stakeholders to identify AI opportunities and translate business requirements into scalable solutions.
- Mentor AI engineers and developers on architecture, coding standards, and emerging AI technologies.
- Ensure solution scalability, security, compliance, observability, and performance optimization.
- Evaluate and implement emerging Agentic AI technologies, frameworks, and enterprise AI tools.
- Participate in technical roadmap planning, effort estimation, and delivery management.
Required Skills and Qualifications
Technical Skills
Agentic AI & LLM Expertise
- Strong hands-on experience with Agentic AI systems and autonomous AI workflows.
- Experience with Salesforce Agentforce and Einstein AI capabilities.
- Expertise in Large Language Models (LLMs) such as:
- GPT
- Claude
- Gemini
- Llama
- Experience with AI orchestration frameworks:
- LangChain
- CrewAI
- AutoGen
- Semantic Kernel
- Strong understanding of:
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Memory Management
- Tool Calling
- Multi-Agent Systems
- AI Evaluation Frameworks
Salesforce & Enterprise Integration
- Strong experience with Salesforce platform architecture and integrations.
- Knowledge of:
- Apex
- Lightning Web Components (LWC)
- Salesforce APIs
- MuleSoft or integration middleware
- Experience integrating AI services with CRM, ERP, ITSM, and enterprise systems.
Cloud & Software Engineering
- Strong programming skills in Python and modern backend technologies.
- Experience with REST APIs, microservices, and event-driven architectures.
- Hands-on experience with cloud platforms:
- AWS
- Azure
- Google Cloud
- Experience with containerization and orchestration:
- Docker
- Kubernetes
- Familiarity with vector databases:
- Pinecone
- Weaviate
- ChromaDB
- FAISS
- Experience with CI/CD pipelines, DevOps, and MLOps practices.
Leadership & Architecture
- Proven experience leading technical teams and enterprise AI projects.
- Strong architecture and system design capabilities.
- Ability to manage technical delivery across multiple projects and stakeholders.
- Excellent analytical, communication, and stakeholder management skills.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, or related field.
- 8+ years of software engineering or enterprise application development experience.
- 3+ years of hands-on experience in AI/LLM application development or intelligent automation platforms.
- Experience leading enterprise-scale AI transformation initiatives.
- Salesforce certifications are highly preferred.
- Experience working in Agile/Scrum environments.
Preferred Qualifications
- Experience in Telecom, BFSI, Healthcare, or Enterprise Digital Transformation domains.
- Knowledge of AI governance, responsible AI, and enterprise AI security.
- Experience with AI observability and monitoring platforms.
- Familiarity with conversational AI and voice AI platforms.
- Exposure to Knowledge Graphs and Graph AI technologies.
Contributions to AI research, open-source projects, or technical communities are a plus.
