Preciselyinternationaljobs
AI Solutions Engineer
Canada
Sponsorship not specifiedDetected 12 days ago
PythonVector DatabasesPlatform EngineeringMachine LearningData AnalysisLLMsRAGAgentic AILLMOpsLangGraphCommunicationProblem Solving
About the role
- The Analyst is comfortable translating complex AI concepts into actionable insights and supporting stakeholders as AI becomes part of everyday workflows.
Responsibilities
- Building AI Deployment Accelerators:
- 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.
- Design and code autonomous AI Agents using frameworks like Lang Graph, Crew AI, or Semantic Kernel.
- Build systems capable of multi-step reasoning, self-correction, and tool-calling.
- Collaborate with Central AI Team's AI Enablement Lead on PS-specific training content
- Implement LLM Ops for PS-specific agentic solutions, operating within Precisely's AI Architecture Standards and in coordination with the Central AI Team's AI Platform Engineer for tooling, evaluation standards, and model governance
- Leads the strategy, design, and delivery of agentic service offerings in Professional Services by leveraging MCP servers to connect AI agents with enterprise data and software solutions.
- Owns customer adoption of MCP based solutions, driving scalable, governed, and LLM agnostic agent implementations that maximize existing automation investments.
- Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders. Ability to simplify complex LLM concepts into actionable training for consultants, analysts, and partners.
Requirements
- 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 initiatives, 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 the ability to interpret data and derive actionable insights
- Excellent written and verbal communication skills, with the ability to translate complex concepts for diverse audiences and non-technical stakeholders.
- 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 Retrieval-Augmented Generation (RAG), vector databases, and API-based integrations
- Experience using enterprise LLM platforms (e.g., Anthropic Claude, OpenAI models), with sound judgment in evaluating outputs, limitations, and risk
Skills
- Experience working with AI agent frameworks and orchestration tools such as LangGraph, CrewAI, Semantic Kernel, or LlamaIndex
- Ability to identify and improve manual or repetitive Professional Services processes using AI or automation
- Clear analytical and communication skills, with the 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
- AI Skills/Knowledge:
Benefits
- Perform cost-benefit analyses, translating technical metrics into "hours saved" and "margin improvement" for leadership.
Company info
- What we are looking for:
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