Delphic Global Pvt Ltd Logo

Delphic Global Pvt Ltd

Senior GEP AI Consultant

Reposted 14 Days Ago
In-Office or Remote
Hiring Remotely in United States
Senior level
In-Office or Remote
Hiring Remotely in United States
Senior level
Lead design, development, and deployment of LLM-powered solutions and autonomous procurement agents on the GEP AI platform. Advise stakeholders, run workshops, configure platform ontologies and data pipelines, optimize models for procurement tasks, and oversee cross-functional implementation to drive automation and improved procurement decision-making.
The summary above was generated by AI

We are seeking a Senior GEP AI Consultant with advanced expertise in developing, training, and deploying LLMs, AI agents, and intelligent workflows on the GEP AI platform. This role blends procurement domain knowledge, AI solution architecture, and hands‑on agent design, supporting customers in transforming their sourcing and procurement processes through next‑generation AI.

The ideal candidate has extensive experience with GEP’s procurement ecosystem, understands how to leverage GEP AI frameworks, and has the capability to design intelligent, autonomous, and procurement‑aligned agents that drive efficiency, reduce cycle time, and elevate user decision‑making.

This is a senior, client‑facing consulting role requiring strong communication, solution leadership, and the ability to translate business requirements into scalable AI outcomes.

Key Responsibilities

AI & LLM Architecture

Design, develop, and deploy LLM‑powered solutions and autonomous agents within the GEP AI ecosystem.
Build custom models leveraging procurement‑specific data, taxonomies, and workflows.
Optimize models for classification, summarization, negotiation support, anomaly detection, and supplier insights.
GEP Platform Expertise

Leverage deep knowledge of GEP SMART, GEP NEXXE, and GEP AI to integrate AI agents into sourcing, contracting, supplier management, spend analytics, and procurement operations.
Configure domain‑specific ontologies, data pipelines, and platform logic to support LLM/agent capabilities.
Ensure solutions align with platform best practices, compliance rules, and enterprise architecture.
Client Advisory & Strategic Consulting

Work directly with business stakeholders (Procurement, Finance, Supply Chain, IT) to identify AI opportunities and map them to GEP AI capabilities.
Lead workshops, requirements sessions, and AI enablement training for business and technical teams.
Advise on procurement transformation strategy through automation, intelligent recommendations, and AI‑driven decision support.
AI Agent Development & Optimization

Design agents for tasks such as:
Autonomous sourcing event creation
Contract risk summarization
Supplier scorecarding and insights
Predictive demand or pricing intelligence
Workflow automation and approvals
Implement reinforcement strategies, guardrails, and evaluation metrics for safe and reliable agent performance.
Cross‑Functional Leadership

Partner with data engineers, platform administrators, and integration teams to enable smooth deployments.
Provide oversight during implementation phases and ensure high‑quality delivery.
Communicate complex AI concepts clearly to non‑technical audiences.
Required Qualifications

7+ years of experience in Procurement Technology, AI, or Enterprise SaaS Consulting.
3+ years hands‑on experience with GEP platforms (GEP SMART, NEXXE, or GEP AI).
Proven ability to build, train, fine‑tune, and evaluate LLMs and AI agents.
Strong experience in Python, prompt engineering, data modeling, and AI architecture.
Deep understanding of procurement processes (S2P, P2P, Sourcing, Supplier Management, Spend Analytics).
Strong executive‑facing communication and client‑consulting skills.
Ability to translate business requirements into scalable AI‑driven procurement solutions.
Preferred Qualifications

Experience deploying AI agents in complex enterprise environments.
Knowledge of procurement compliance, supplier risk scoring, and workflow automation.
Background in management consulting or advisory (e.g., BCG, Accenture, Deloitte).
Familiarity with integration tools (API, middleware, data orchestration).
What Success Looks Like

Delivery of reliable, high‑impact GEP AI models and agents that materially improve procurement efficiency.
High client satisfaction through strategic advisory and seamless implementation.
Creation of reusable frameworks, prompts, datasets, and workflows that enhance long‑term AI adoption

HQ

Delphic Global Pvt Ltd San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

13 Minutes Ago
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead enterprise reporting and analytics initiatives across healthcare operations. Develop dashboards, scorecards, KPIs, data standards, analytical models, and executive insights using healthcare claims data. Reconcile data sources, identify anomalies and performance drivers, automate reporting, and translate business needs into scalable solutions. Serve as a reporting intelligence subject matter expert, collaborate with cross-functional stakeholders, influence strategic decisions, and mentor junior analysts.
Top Skills: AirflowAltairAWSAzureDatabricksExcelGCPGitGitMatplotlibNumpyPandasPower BIPythonSASScikit-LearnSeabornSnowflakeSparkSQLTableau
13 Minutes Ago
In-Office or Remote
92K-164K Annually
Senior level
92K-164K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, testing, deployment, and support of scalable enterprise software. Builds backend services, APIs, and modern user experiences; designs cloud-native solutions using Azure or GCP; and drives DevOps, CI/CD, observability, security, and testing practices. The role leads modernization and AI initiatives, resolves complex production issues, mentors engineers, influences technical decisions, and collaborates with cross-functional stakeholders to deliver reliable technology solutions.
Top Skills: AzureCi/CdDockerFastapiGithub ActionsGithub CopilotGoogle AdkGoogle Cloud PlatformJavaJenkinsKafkaKubernetesLangchainMicroservicesNlpNosql DatabasesOpenai SdkPythonReactRedisRelational DatabasesRest ApisServerlessSpring BootTerraform
13 Minutes Ago
In-Office or Remote
73K-130K Annually
Mid level
73K-130K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Coordinates care for Medicare Advantage members in skilled nursing facilities. Responsibilities include developing care plans, collaborating with providers and interdisciplinary teams, supporting discharge planning and transitions of care, addressing social barriers, arranging follow-up care, documenting activities, and reducing avoidable readmissions and healthcare utilization. The role requires an active Utah RN license and clinical case management experience.
Top Skills: Case Management SystemsElectronic Medical RecordsHipaaMS Office

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account