{"id":2225229,"url":"https://alion.io/job/emerson-lead-engineer-salesforce-ai-agentforce","title":"Lead Engineer Salesforce AI Agentforce","company":{"id":179425,"name":"Emerson","domain":"emerson.com","url":"https://alion.io/company/emerson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":93,"open_postings":131,"ghost_share":0.008,"stale_share":0.435,"repost_share":0.023,"time_to_fill_p50_days":3,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chandigarh, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"GDPR","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"Apex","optional":true}],"status":"live","first_seen_at":"2026-10-09T09:40:10Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T12:22:39Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"In This Role, Your Responsibilities Will Be:\nAI Governance, Policy & Responsible Deployment\nDefine, document, and enforce Emerson AI governance policies, ethical guidelines, compliance expectations, and approval standards for Salesforce AI capabilities, including Agentforce and Einstein \nReview proposed AI toolsets and agent use cases across business functions for regulatory, ethical, privacy, security, and business-process readiness \nEstablish practical guardrails for agent design, topic configuration, actions, data grounding, escalation, auditability, and human oversight \nTrack evolving AI regulations, Salesforce trust guidance, and corporate policies, translating requirements into usable governance practices for delivery teams \nCreate AI risk assessment templates, model/use-case review checkpoints, exception processes, and remediation procedures for Salesforce AI deployments \nAgentforce Enablement & Design Leadership\nAdvise workstream teams on Agentforce design patterns, agent topics, actions, instructions, prompt quality, hallucination prevention, and safe handoff to human users \nEnable responsible AI innovation by helping teams move from concept to governed pilots, production readiness, and measurable business outcomes \nPartner with Data Cloud, Data Stewardship, and Integration teams to ensure agent grounding data is accurate, permission-aware, compliant, and fit for intended use \nDevelop reusable Agentforce patterns, documentation, training materials, and playbooks to accelerate consistent adoption across Business Groups and World Areas \nAudit, Monitoring & Continuous Improvement\nAudit AI agent usage, performance, quality, compliance, bias risk, and outcome measures, coordinating remediation actions when issues are identified \nDefine AI trust and safety metrics, adoption metrics, value measures, and executive reporting for Salesforce AI capabilities \nPartner with Security, Legal, Compliance, Architecture, and Data teams to ensure AI controls align with Emerson enterprise policies and risk posture \nSupport post-deployment reviews, incident learnings, and continuous improvement of AI governance standards and agent operating models \nWho You Are:\nYou are energized by helping Emerson innovate responsibly, turning emerging AI capabilities into trusted business tools (Nimble Learning; Strategic Mindset). You can diagnose risk without becoming a blocker, applying sound judgment to privacy, compliance, security, data readiness, and user experience trade-offs (Decision Quality; Manages Complexity). You communicate clearly with both technical teams and senior leaders, making AI governance practical and actionable (Communicates Effectively). You build alignment across functions that may see AI through different lenses, creating confidence that Agentforce capabilities can scale safely and deliver value (Collaborates; Builds Networks; Ensures Accountability).\nFor This Role, You Will Need:\nTechnical Skills:\nSalesforce Agentforce concepts, including agent design, topics, actions, instructions, guardrails, grounding, human handoff, and monitoring \nSalesforce Einstein and AI-enabled CRM capabilities, with understanding of Salesforce Data Cloud as an AI data foundation \nAI/ML governance frameworks, responsible AI principles, model/use-case risk assessment, bias monitoring, and AI audit practices \nData privacy regulations and compliance considerations, including GDPR, CCPA, industry-specific requirements, and enterprise security controls \nLLM capabilities, limitations, hallucination risk, prompt engineering concepts, retrieval/grounding patterns, and safe automation design \nInterpersonal and Leadership Skills:\nCross-functional influence and education across business, delivery, data, security, legal, compliance, and architecture stakeholders \nRisk assessment and mitigation planning with the judgment to distinguish acceptable experimentation from unacceptable enterprise risk \nClear communication of AI concepts, controls, and trade-offs to non-technical leaders and delivery teams \nPragmatic governance orientation that accelerates responsible innovation rather than creating unnecessary friction \nCuriosity, regulatory awareness, and disciplined learning in a rapidly evolving AI technology landscape \nRequired Certifications:\nSalesforce Agentforce certification \nSalesforce AI Associate, Salesforce Administrator, Data Cloud, or responsible AI / AI ethics certifications valued\nPreferred / Nice-to-Have:\nExperience with manufacturing, industrial, commercial, service, or channel AI use cases \nHands-on Salesforce Einstein, Agentforce, Data Cloud, or CRM automation experience \nFormal AI ethics, responsible AI, privacy, security, or compliance certification \nFamiliarity with Salesforce Trust Layer concepts, permission-aware grounding, and enterprise AI assurance practices \nExperience designing AI governance for global, matrixed organizations \nPreferred Qualifications That Set You Apart:\nBachelor's degree required in Computer Science, Information Systems, Data Science, Engineering, Business, Legal/Compliance, or a related field; advanced degree preferred \n3+ years of experience in AI/ML governance, data ethics, compliance, risk management, enterprise technology, or Salesforce platform leadership \nExperience defining or operating governance frameworks for AI, analytics, automation, or data-driven technology in an enterprise context \nStrong understanding of data privacy, security, compliance, auditability, and responsible AI principles \nAbility to translate complex AI concepts and risks into clear guidance for technical, business, legal, and executive audiences \nApproximately 10-20% travel (global) \nOur Culture & Commitment to You:\nAt Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.\nWe recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. 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