Salesforce Architect — AI-Enabled Agentforce Lead

Wisetek Providers INC

Merrifield (VA)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

401(k) matching

Dental insurance

Health insurance

Competitive salary

Paid time off

Job summary

WISETEK PROVIDERS INC is seeking a Salesforce Architect to lead enterprise‑scale Agentforce implementations and secure, compliant AI solutions. The role blends solution architecture with hands‑on development to deliver scalable agents, actions, prompts, and automation across Salesforce and AI platforms.

The successful candidate will design guardrails, governance, and data integration, partnering with security, product, and business teams.

Qualifications

8+ years Salesforce platform experience in solution architecture.
3+ years designing and building AI-enabled solutions, including agentic AI architectures and LLM-based systems in production.
Hands-on experience with Salesforce Agentforce, Einstein/Agentforce AI, and Data Cloud, including agent topics, grounding, and guardrails.
Deep expertise in Financial Cloud and platform integrations, with strong proficiency in Apex, LWC, Flows, SOQL, and Salesforce APIs.
Strong understanding of LLMs, RAG architectures, vector stores, embeddings, prompt engineering, structured outputs, and evaluation frameworks.
Experience designing and delivering secure, governed, and cost-aware enterprise AI solutions with robust fallback and observability strategies.
Knowledge of enterprise integration patterns using REST APIs, event-driven architectures, and cloud-native services.
Knowledge of DevOps, CI/CD, source control, and deployment automation for Salesforce.
Experience with Microsoft Azure AI, Azure OpenAI or equivalent AI/cloud platforms is preferred.
Experience working in Agile, multi-cultural teams across time zones with business, technology, security, legal, risk, and governance stakeholders.

Responsibilities

Design and implement enterprise-scale Agentforce architecture, including agent topics, actions, orchestration, guardrails, memory, and knowledge integration.
Define architecture standards, reusable design patterns, and governance guardrails, and personally develop and configure Agentforce agents, actions, prompts, and automation workflows.
Collaborate with business, product, security, legal, risk, and technology stakeholders to identify, assess, and prioritize agentic AI use cases based on value, risk, and feasibility.
Architect and build integrations between Agentforce and Salesforce Financial Cloud, Azure AI services, enterprise APIs, and external systems.
Develop Apex, Flows, and supporting services; configure knowledge sources, Data Cloud grounding, and enterprise search.
Design and implement RAG pipelines, prompt engineering, structured outputs, tool‑calling, and multi‑agent workflows with clear reasoning and escalation paths.
Establish and implement responsible AI controls, including human oversight, auditability, monitoring, data protection, bias and safety mitigations, and graceful degradation.
Define and run agent evaluation frameworks, quality and hallucination metrics, testing strategies, and operational readiness criteria.
Lead architecture reviews and design sessions, provide implementation guidance and mentoring, and support deployment, scalability planning, cost optimization, and ongoing platform evolution.