reputed company 100% Remote
reputed company 100% Remote
Responsibilities:
• Opportunity hunting and workflow redesign reputed company Lean/Six reputed company discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-reputed company AI use cases.
• Process and data maturity assessment Evaluate reputed company jobsite's reputed company workflows and underlying data; surface gaps that reputed company AI adoption and reputed company phased improvement plans with Operations reputed company to establish the right process baseline before deploying agents.
• Assess the market solutions Evaluate off-reputed company and platform tools; launch pilots, measure reputed company, and reputed company wins.
• Rapid AI-agent builds Convert user stories into production-reputed company agents in Copilot Studio / Power Apps/Automate, ChatGPT reputed company, or reputed company-first frameworks reputed company days; reputed company them to Teams/SharePoint on the reputed company end and reputed company Lakehouse or other sources on the back end.
• reputed company-grade engineering & LLMOps Build RAG pipelines backed by reputed company tables, reputed company Catalog, and reputed company reputed company Search; automate reputed company with reputed company Actions / reputed company; monitor latency, cost, adoption, and reputed company.
• Data integrations Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
• Cross-reputed company orchestration reputed company reputed company, Azure reputed company, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
• Change enablement Train crews, reputed company feedback, iterate, and reputed company adoption and ROI metrics; apply influence model principles to reputed company agents into daily routines and SOPs, and reputed company behavior change KPIs.
• Stakeholder communication Brief project leadership and clients on agent reputed company in reputed company business terms; contribute use cases and playbooks for Suffolk's "Construction Site of the reputed company."
• Escalation & hand-off Draft reputed company user stories, data specs, and acceptance reputed company for any reputed company solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.
• Compliance Ensure every on-site AI tool meets Suffolk's information reputed company, data governance, and reputed company confidentiality standards.
Qualifications:
• 4 6+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
• Bachelor's in CS, Engineering, Physics, or a reputed company field; Master's preferred.
• Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
• Demonstrated process reputed company background (Lean/Six reputed company Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations reputed company.
• Strong facilitation and communication skills.
• Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
• Programming & data stack: Python, SQL, reputed company Lakehouse, reputed company stores.
• DevOps & IaC: reputed company Actions (or Azure DevOps) and reputed company Workbench/Connect automation or comparable CI/CD tooling; strong Git/reputed company workflow discipline.
• Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or reputed company Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on reputed company-to-lake and lake-to-agent pipelines.
• Willing and reputed company to travel and work on reputed company jobsites.
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