Salesforce

AI Operations Engineer

Salesforce$123K — $186K *
US-Anywhere
+ 3 other locationsRemote
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Data Analytics, or a related field, or equivalent experience.
  • Experience supporting operational systems, business process improvement, workflow automation, or technology enablement initiatives.
  • Understanding of generative AI, large language models (LLMs), automation platforms, and AI-enabled business processes.
  • Experience managing cross-functional projects and collaborating with both technical and business stakeholders.
  • Strong analytical, problem-solving, and process optimization skills.

Responsibilities

  • Identify, evaluate, and implement AI-driven solutions to enhance operational efficiency.
  • Design and optimize workflows integrating generative AI and automation technologies.
  • Lead initiatives for continuous improvement across operational functions.
  • Monitor emerging AI technologies and recommend applications aligned with company goals.
  • Drive adoption of new Salesforce capabilities within operational workflows.
  • Manage and enhance systems used for bid management and contract-related operations.
  • Administer and optimize AI-enabled operational platforms and ensure system performance.

Benefits

  • Comprehensive support for work-life balance.
  • Access to futuristic AI tools and resources.
  • Opportunity to shape the future of operational processes with AI.
  • Inclusive environment promoting personal and professional growth.
Full Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Program & Project Management

Job Details

Position Summary

We are seeking an innovative AI Operations Engineer to lead the development, optimization, and continuous improvement of AI-powered operational processes, tools, and platforms across the GPS Strategic Operations organization. This role serves as the bridge between cross-functional business operations, technology, and artificial intelligence, driving the adoption of AI solutions that improve efficiency, quality, scalability, and decision-making.

The AI Operations Engineer will be responsible for managing and evolving systems that support bid management, framework and contract operations, knowledge management, content lifecycle management, workflow automation, and other business-critical processes. This role will identify opportunities to leverage AI, automation, and data-driven solutions across multiple operational functions while ensuring governance, compliance, and operational excellence.

Key Responsibilities
AI Operations & Process Innovation
  • Identify, evaluate, and implement AI-driven solutions that improve operational efficiency, productivity, and business outcomes.
  • Design and optimize workflows that incorporate generative AI, machine learning, automation, and intelligent knowledge retrieval.
  • Lead continuous improvement initiatives across operational functions, leveraging AI technologies to reduce manual effort and increase scalability.
  • Monitor emerging AI technologies and recommend practical applications aligned with organizational goals.
  • Drive adoption of new Salesforce capabilities (Agentforce, Tableau, Data Cloud) within operations workflows.
  • Architect agent-to-agent (A2A) automation patterns that connect GPS systems end-to-end with minimal human intervention.

Bid Management Operations
  • Support and enhance systems, tools, and processes used for bid management, proposal development, framework management, and contract-related operations.
  • Develop AI-assisted workflows that streamline opportunity assessment, response generation, compliance validation, content retrieval, and submission processes.
  • Improve operational visibility through reporting, analytics, and performance dashboards.
  • Collaborate with business stakeholders to standardize and optimize bid and framework management processes.
  • Architect agent-to-agent (A2A) automation patterns that connect tooling and systems end-to-end with minimal human intervention.
  • Works closely with RFx leads, Bid Mangers, AEs, SEs, AVPs, RVPs, and Salesforce platform/IT partners.
Knowledge & Content Operations
  • Manage and improve knowledge repositories, content libraries, and structured information sources used across operational functions.
  • Implement AI-powered search, retrieval, summarization, and content recommendation capabilities.
  • Establish governance processes to ensure information accuracy, consistency, security, and compliance.
  • Develop strategies for content reuse, knowledge sharing, and organizational learning.
  • Ensure Salesforce data integrity across Data 360 in Utopia.
Systems & Tool Management
  • Administer and optimize AI-enabled operational platforms and business systems.
  • Configure integrations between AI tools, CRM platforms, document management systems, collaboration tools, and enterprise applications.
  • Support the deployment and adoption of new technologies and automation solutions.
  • Ensure system reliability, performance, scalability, and security.
  • Own and evolve the GPS Salesforce (Utopia) instance: object model, process automation, validation rules, and data quality.
AI Governance & Enablement
  • Establish best practices for AI usage, content validation, data management, and operational governance.
  • Develop standards for prompt engineering, AI-assisted workflows, and human-in-the-loop review processes.
  • Train and support users in the effective adoption of AI tools and capabilities.
  • Measure and report on AI adoption, operational impact, and return on investment.
  • Document and maintain technical runbooks, system architecture diagrams, and integration maps.
Qualifications
Required
  • Bachelor's degree in Business, Information Systems, Computer Science, Engineering, Data Analytics, or a related field, or equivalent experience.
  • Experience supporting operational systems, business process improvement, workflow automation, or technology enablement initiatives.
  • Understanding of generative AI, large language models (LLMs), automation platforms, and AI-enabled business processes.
  • Experience managing cross-functional projects and collaborating with both technical and business stakeholders.
  • Strong analytical, problem-solving, and process optimization skills.
Preferred
  • Experience supporting bid management, proposal operations, framework management, procurement, sales operations, contract operations, or knowledge management functions.
  • Familiarity with AI platforms, prompt engineering, retrieval-augmented generation (RAG), workflow automation tools, and API integrations.
  • Experience with CRM platforms, knowledge management systems, document repositories, business intelligence tools, and enterprise collaboration platforms.
  • Understanding of AI governance, compliance, and operational risk management.
Key Competencies
  • AI & Digital Innovation Mindset
  • Strategic Thinking & Problem Solving
  • Project Management & Execution
  • Attention to Detail & Governance Rigor
  • Stakeholder Coordination & Influence
  • Process Improvement & Systems Thinking
Success Measures
  • Increased operational efficiency through AI and automation initiatives.
  • Improved quality, consistency, and accessibility of organizational knowledge and content.
  • Increased adoption and utilization of AI-enabled tools and workflows.
  • Reduced cycle times for operational processes, bids, frameworks, and related activities.
  • Enhanced reporting, visibility, and data-driven decision-making across business functions.
  • Successful delivery of scalable AI solutions that create measurable business value.


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