Salesforce CRM and contact-center consultancy building agentic AI services
SPAR Solutions is an Atlanta-based consultancy whose stack centers on Salesforce (Sales, Service, Marketing Cloud, Field Service, Service Cloud Voice) plus Apex and Visualforce. It is now adding LangChain, LangGraph, AutoGen, CrewAI and RAG alongside OpenAI, Anthropic and Gemini, a sign that a CRM implementation shop is building an agentic AI delivery practice. Hiring is accelerating and skews senior and engineering-heavy.
SPAR Solutions is a privately held consulting firm founded in 2003 and headquartered in Atlanta, Georgia, with a delivery center in Pune, India. It serves clients ranging from small businesses to very large enterprises across the U.S., Europe, the Middle East, Asia and Australia. Its industry focus spans financial services, insurance, healthcare payors and providers, manufacturing, telecom, life sciences, energy, logistics and retail. Core services include CRM consulting, contact-center and IVR/CTI work, custom application development, legacy modernization, BI, and a newer AI/ML practice. The firm employs 51–200 people.
SPAR Solutions works with Salesforce Sales Cloud, Service Cloud, Marketing Cloud and Field Service, plus Apex, Visualforce, Tableau, Python, Jira and Rally, and AI tools like LangChain, LangGraph, OpenAI, Anthropic and Gemini.
Job posts point to agentic AI system design, RAG pipeline design, LLM integration strategy and data pipelines, built with frameworks such as LangChain, LangGraph, AutoGen and CrewAI.
SPAR Solutions hires in the United States and India, reflecting its Atlanta headquarters and Pune delivery center. Openings lean toward senior engineering roles, with some ops, sales and data positions.
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SPAR Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.