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AI Solutions Engineer
Precisely
Toronto, CAN
Full Time
Mid
Remote
1 weeks ago
PythonLangGraphCrewAISemantic KernelRetrieval Augmented Generation (RAG)Vector Databases
Free
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PythonLangGraphCrewAI
About the Role
Precisely seeks an AI Solutions Engineer to bridge AI and professional services delivery. You will build AI agents, design agentic solutions, and enable teams to adopt AI tools. Requires Python, LLM frameworks, and experience with RAG and vector databases.
Key Skills for This Role
PythonLangGraphCrewAISemantic KernelRetrieval Augmented Generation (RAG)Vector Databases
Responsibilities
- Build AI agents to automate data mapping, schema conversion, and code migration tasks
- Design Configuration Agents that auto generate documentation and environment setups for product deployments
- Audit Professional Services workflows to identify high impact AI opportunities and perform cost benefit analyses
- Design and code autonomous AI agents using frameworks like LangGraph, CrewAI, or Semantic Kernel
- Collaborate with Central AI Team on PS specific training content
- Implement LLM Ops for PS specific agentic solutions within Precisely's AI Architecture Standards
- Lead strategy, design, and delivery of agentic service offerings using MCP servers
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or related field
- 3 5 years of experience supporting Professional Services delivery, consulting, or technology enabled programs in a software or SaaS environment
- Strong proficiency in Python with hands on experience building AI enabled workflows
- Practical experience with generative AI solutions including RAG, vector databases, and API integrations
- Experience with AI agent frameworks such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex
- Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models)
Full Job Posting
Overview
- The Professional Services AI Solutions Engineer accelerates adoption of AI tools across Precisely's Professional Services team.
- The role bridges cutting edge AI and billable service delivery, collaborating with technical, business, and operational teams.
What you will do
- Independently build AI agents to automate complex data mapping, schema conversion, and code migration tasks.
- Design Configuration Agents that auto generate documentation and environment setups for product deployments.
- Audit Professional Services workflows to identify high impact AI opportunities and perform cost benefit analyses.
- Design and code autonomous AI agents using frameworks like LangGraph, CrewAI, or Semantic Kernel.
- Collaborate with Central AI Team's AI Enablement Lead on PS specific training content.
- Implement LLM Ops for PS specific agentic solutions within Precisely's AI Architecture Standards.
- Lead strategy, design, and delivery of agentic service offerings using MCP servers.
What we are looking for
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related field.
- 3 5 years of experience supporting Professional Services delivery, consulting, or technology enabled programs in a software or SaaS environment.
- Experience supporting technology adoption, change management, or enablement across cross functional teams.
- Strong analytical and problem solving skills with ability to interpret data and derive actionable insights.
- Excellent written and verbal communication skills, ability to translate complex concepts for diverse audiences.
- Experience working with stakeholders at multiple levels, including technical and non technical partners.
- AI Enablement & Training background and excellent presentation skills a must.
Required Skills
- Strong proficiency in Python, with hands on experience building or enhancing AI enabled workflows or internal accelerators.
- Practical experience designing and implementing generative AI solutions, including RAG, vector databases, and API based integrations.
- Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex.
- Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk.
- Solid working knowledge of AI/ML concepts and automation platforms sufficient to support enablement, training, and real world solution delivery.
AI Skills/Knowledge
- Ability to identify and improve manual or repetitive Professional Services processes using AI or automation.
- Clear analytical and communication skills, with ability to explain AI driven outcomes to consultants and delivery stakeholders.
- Comfort using generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude) and a growth mindset aligned to an AI first organization.
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