Validation Engineer Jobs in Ohio
Validation Engineer jobs in Ohio are consistently in demand, concentrated in the state's pharmaceutical manufacturing, medical device, and automotive sectors, with openings at every level from entry-level associate to senior validation engineer. Columbus, Cincinnati, and Cleveland account for the bulk of hiring, with major employers like Procter & Gamble, Abbott, and Johnson Controls maintaining substantial validation engineering operations across Ohio. The strongest demand is in process validation, computer system validation (CSV), and IQ/OQ/PQ protocol execution. Find a role that fits below and apply directly.
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Showing 5 of 23+ Validation Engineer jobs
Employee Compute is evolving from endpoint operations to an AI-enabled compute control plane that supports a global workforce at scale. As Executive Director for Agentic Validation, Trust & Evaluation, you will own and lead the function that verifies AI-enabled employee experiences are safe, explainable, policy-compliant, and operationally ready before and during production use.
This role sits within Risk & Controls and is accountable for setting the strategy for, building, and running the validation, trust, and evaluation operating model for agentic capabilities used across Employee Compute journeys. You will partner across engineering, cybersecurity, architecture, and control teams to establish measurable confidence in AI-assisted workflows through strong evaluation frameworks, auditable evidence, and clear governance outcomes aligned to a highly regulated environment.
This role holds executive-level individual accountability for the effectiveness of the agentic validation and control environment within Employee Compute, including timely identification, escalation, and remediation of control gaps. The Executive Director is the senior named control owner for go/no-go release decisions on AI-enabled employee experiences and is answerable to senior leadership, audit, and regulators for the integrity of the evidence supporting those decisions.
Job Responsibilities
- Set and own the enterprise strategy for Agentic Validation, Trust & Evaluation for Employee Compute, translating policy and risk expectations into practical validation and control mechanisms for AI-enabled employee workflows.
- Design and operationalize end-to-end evaluation frameworks for agentic capabilities, including pre-release validation, post-release monitoring, drift detection, and periodic control attestations.
- Build standardized trust criteria for AI-assisted outcomes such as identity integrity, authorization correctness, data-handling boundaries, provenance, explainability, and reproducibility of decisions and actions.
- Establish and govern quality gates and go/no-go decision practices for AI-enabled releases, ensuring evidence-based readiness across security, controls, resiliency, and operational support.
- Own the mandate that validation and control requirements are embedded in design and delivery lifecycles, with authority to block releases that fail to meet engineered-in control standards (controls engineered in, not retrofit after launch).
- Create and own KPI/OKR and scorecard structures for trust and evaluation outcomes, including control health, issue closure velocity, incident learnings, and model/tool performance against policy expectations.
- Own and personally attest to examiner-ready evidence packages and control-testing results presented at risk and control forums, including executive communication on material risks, decisions, and mitigations to senior technology and control leadership.
- Be accountable for approving or rejecting AI supplier capabilities for broad enablement, based on documented validation against internal standards and operational realities; retain sign-off authority and evidence of that decision.
- Ensure timely and transparent escalation of material control weaknesses, validation failures, and AI-risk incidents to senior leadership and relevant risk committees.
- Own the risk issues and corrective actions logged for the function in the firm's risk system of record, ensuring accuracy, supporting evidence, and on-time remediation.
- Build, lead, and develop a high-performing team of validation and controls practitioners with strong technical fluency and disciplined risk-management execution, including managing managers and senior individual contributors.
- Be accountable for control-culture outcomes within the function — where trust, control integrity, and speed coexist through clear standards, automation, and continuous improvement — evidenced by control-testing results, issue-closure performance, and audit/examiner feedback.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- 12+ years of technology, risk, controls, or governance experience, with significant time in regulated enterprise environments and at least 5 years leading programs, teams, or cross-functional workstreams.
- Proven experience designing or operating control frameworks for modern technology platforms, such as cloud, endpoint, identity, cybersecurity, or AI-enabled systems.
- Demonstrated experience as a senior named control owner or risk owner accountable for audit/examiner outcomes, including managing findings to closure.
- Experience making and defending go/no-go / risk-acceptance decisions at an executive level, including documenting rationale and standing behind decisions under audit and regulatory scrutiny.
- Hands-on experience with validation and evaluation approaches, including test design, scenario-based assessments, evidence generation, and measurable acceptance criteria.
- Strong understanding of AI/agentic risk dimensions such as identity attribution, authorization boundaries, data governance, model/tool behavior variability, and operational misuse pathways.
Employee Compute is evolving from endpoint operations to an AI-enabled compute control plane that supports a global workforce at scale. As Executive Director for Agentic Validation, Trust & Evaluation, you will own and lead the function that verifies AI-enabled employee experiences are safe, explainable, policy-compliant, and operationally ready before and during production use.
This role sits within Risk & Controls and is accountable for setting the strategy for, building, and running the validation, trust, and evaluation operating model for agentic capabilities used across Employee Compute journeys. You will partner across engineering, cybersecurity, architecture, and control teams to establish measurable confidence in AI-assisted workflows through strong evaluation frameworks, auditable evidence, and clear governance outcomes aligned to a highly regulated environment.
This role holds executive-level individual accountability for the effectiveness of the agentic validation and control environment within Employee Compute, including timely identification, escalation, and remediation of control gaps. The Executive Director is the senior named control owner for go/no-go release decisions on AI-enabled employee experiences and is answerable to senior leadership, audit, and regulators for the integrity of the evidence supporting those decisions.
Job Responsibilities
- Set and own the enterprise strategy for Agentic Validation, Trust & Evaluation for Employee Compute, translating policy and risk expectations into practical validation and control mechanisms for AI-enabled employee workflows.
- Design and operationalize end-to-end evaluation frameworks for agentic capabilities, including pre-release validation, post-release monitoring, drift detection, and periodic control attestations.
- Build standardized trust criteria for AI-assisted outcomes such as identity integrity, authorization correctness, data-handling boundaries, provenance, explainability, and reproducibility of decisions and actions.
- Establish and govern quality gates and go/no-go decision practices for AI-enabled releases, ensuring evidence-based readiness across security, controls, resiliency, and operational support.
- Own the mandate that validation and control requirements are embedded in design and delivery lifecycles, with authority to block releases that fail to meet engineered-in control standards (controls engineered in, not retrofit after launch).
- Create and own KPI/OKR and scorecard structures for trust and evaluation outcomes, including control health, issue closure velocity, incident learnings, and model/tool performance against policy expectations.
- Own and personally attest to examiner-ready evidence packages and control-testing results presented at risk and control forums, including executive communication on material risks, decisions, and mitigations to senior technology and control leadership.
- Be accountable for approving or rejecting AI supplier capabilities for broad enablement, based on documented validation against internal standards and operational realities; retain sign-off authority and evidence of that decision.
- Ensure timely and transparent escalation of material control weaknesses, validation failures, and AI-risk incidents to senior leadership and relevant risk committees.
- Own the risk issues and corrective actions logged for the function in the firm's risk system of record, ensuring accuracy, supporting evidence, and on-time remediation.
- Build, lead, and develop a high-performing team of validation and controls practitioners with strong technical fluency and disciplined risk-management execution, including managing managers and senior individual contributors.
- Be accountable for control-culture outcomes within the function — where trust, control integrity, and speed coexist through clear standards, automation, and continuous improvement — evidenced by control-testing results, issue-closure performance, and audit/examiner feedback.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- 12+ years of technology, risk, controls, or governance experience, with significant time in regulated enterprise environments and at least 5 years leading programs, teams, or cross-functional workstreams.
- Proven experience designing or operating control frameworks for modern technology platforms, such as cloud, endpoint, identity, cybersecurity, or AI-enabled systems.
- Demonstrated experience as a senior named control owner or risk owner accountable for audit/examiner outcomes, including managing findings to closure.
- Experience making and defending go/no-go / risk-acceptance decisions at an executive level, including documenting rationale and standing behind decisions under audit and regulatory scrutiny.
- Hands-on experience with validation and evaluation approaches, including test design, scenario-based assessments, evidence generation, and measurable acceptance criteria.
- Strong understanding of AI/agentic risk dimensions such as identity attribution, authorization boundaries, data governance, model/tool behavior variability, and operational misuse pathways.
See All 23 Validation Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Validation Engineer JobsValidation Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Validation Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
- Healthcare & Medical Services
- Biotechnology & Pharmaceuticals
- Chemicals & Materials
- Technology & Software
What Ohio Employers Look For
The qualifications that appear most often in validation engineer jobs across Ohio.
- Bachelor's degree in engineering, life sciences, or a closely related technical field
- Experience writing and executing IQ, OQ, and PQ validation protocols
- Familiarity with FDA 21 CFR Part 11 and cGMP regulatory requirements
- Proficiency with validation documentation systems and deviation management tools
- Knowledge of risk assessment methodologies such as FMEA and GAMP 5 guidelines
- Strong technical writing skills for validation reports, SOPs, and change control documentation
Validation Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a validation engineer in Ohio?
Becoming a validation engineer in Ohio typically starts with a bachelor's degree in chemical, mechanical, biomedical, or industrial engineering, or a closely related science. Ohio does not require a state-issued license specific to validation engineering, so hiring decisions hinge on technical credentials and hands-on experience. Earning a Certified Validation Professional (CVP) or completing training in FDA regulatory frameworks strengthens a candidacy considerably, particularly for roles in Ohio's pharmaceutical and medical device industries.
Which companies hire validation engineers in Ohio?
Employers hiring validation engineers in Ohio right now include Validation & Engineering Group, Katalyst Healthcares & Life Sciences, and CAI, based on current listings on Migrate Mate as of August 2026. Ohio's concentration of pharmaceutical manufacturers, medical device companies, and large consumer goods operations makes it one of the more active states for validation engineering recruitment in the Midwest.
Which Ohio cities have the most validation engineer jobs?
Columbus, Cincinnati, and New Albany have the most validation engineer openings in Ohio. Columbus drives volume through its growing pharmaceutical and biotech presence, Cincinnati anchors demand through major consumer goods and healthcare manufacturers like Procter & Gamble, and Cleveland draws openings from its established medical device and advanced manufacturing base.
Are there remote validation engineer jobs in Ohio?
Yes, but they're rare. Validation engineering is largely hands-on work requiring physical access to equipment, manufacturing lines, and laboratory environments, so most roles are on-site or require significant in-person presence. About 0% of validation engineer openings tied to Ohio are remote or hybrid as of August 2026. The portions most likely to be remote are computer system validation and documentation review tasks rather than protocol execution or equipment qualification.
How can I get hired as a validation engineer in Ohio with little or no experience?
The most realistic entry path is a quality assurance technician or manufacturing associate role at one of Ohio's pharmaceutical or medical device plants, where exposure to validation activities is a natural part of the job. Large Ohio employers in the Columbus and Cincinnati areas frequently hire new graduates into quality or regulatory affairs associate programs that rotate through validation functions. Completing a GAMP 5 or FDA regulatory training course and building a portfolio of any protocol writing or change control work gives candidates a concrete edge when applying to these entry-level openings.
Where can I find and apply to validation engineer jobs in Ohio?
You can find and apply to validation engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings from employers actively hiring. Search the available roles, find the ones that match your background and location, and apply directly to the positions that fit.
See All 23 Validation Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Validation Engineer Jobs