AI Innovation & Evaluation Engineer
CHARLOTTE, NC, United States
Contract
4 weeks ago
$71 USD
Key skills
PythonJavaAIMLKubernetesOpenShiftSaaSAgileCI/CDCommunication
About this role
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a AI Innovation & Evaluation Engineer in Charlotte, NC or Irving, TX (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is focused on evaluating emerging technologies, driving innovation, and shaping future platform strategy, apply today.
Contract Duration: 18 Months
Required Skills & Experience
5+ years of Specialty Software Engineering or Technology Research/Innovation experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
AI Solution Development
Analytical / Research
Business Cases
Executive Communication and Reporting
5+ years of experience in technology research, product/vendor evaluation, or innovation engineering, including hands-on delivery of at least one AI-driven automation or evaluation use case (preferred).
4+ years of experience leading end-to-end PoC or product evaluation initiatives, including defining scope, success criteria, standardized test patterns, execution plans, and scoring frameworks across multiple vendor solutions.
3+ years of experience working in infrastructure, platform, or cloud-native environments, with the ability to assess integration, scalability, resiliency, and risk of emerging technologies.
3+ years of experience building or enabling repeatable evaluation frameworks, including templates, scoring models, prompts, or workflows to standardize and scale product assessments.
3+ years of experience using AI/automation (LLMs, prompt engineering, agents, or coding in Python/Java) to accelerate research, analysis, and evaluation activities.
3+ years of strong Agile execution skills in a fast-moving, cross-functional environment.
3+ years of excellent technical writing and stakeholder communication skills to deliver decision-ready outputs (evaluation summaries, findings, scoring, and recommendations).
Desired Skills & Experience
Business Requirements & Test Strategy
Kubernetes
Observability
Product Development/Mgt
Experience designing and scaling structured evaluation frameworks, including scoring methodologies, comparative analysis, and standardized assessment approaches across multiple technologies.
Strong application of AI/automation to enhance research and evaluation workflows, including vendor analysis, test generation, and synthesis of insights into executive-ready deliverables.
Experience with infrastructure automation and environment configuration (IaC, CI/CD, or similar) to support repeatable PoC and evaluation setups.
Experience evaluating SaaS, infrastructure, observability, or platform vendors, including understanding integration complexity, data flows, identity/auth patterns, and operational readiness.
Familiarity with enterprise governance, risk, and compliance considerations, including data protection, PII, and regulatory requirements.
Strong background in platform and infrastructure technologies (e.g., OpenShift, observability tools) to validate technical depth and assess real-world applicability.
Demonstrated ability to produce executive-level recommendations, including structured summaries, POVs, and comparative analysis of vendor solutions.
Experience in technology scouting, competitive analysis, and identifying emerging solutions aligned to enterprise needs.
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
Advanced AI/ML certifications or equivalent applied expertise preferred.
What You Will Be Doing
Lead evaluation of emerging infrastructure, observability, automation, and platform technologies to determine internal adoption and strategic value.
Research vendor capabilities, product positioning, and enterprise use cases using public data, vendor materials, and AI-driven tools.
Define PoC criteria and assess production readiness, including scalability, resiliency, data protection, and regulatory considerations.
Build and maintain repeatable evaluation frameworks, templates, and workflows to standardize product assessments.
Facilitate vendor discussions, validate claims, and provide structured recommendations to stakeholders.
Strategically collaborate and consult with client personnel to shape innovation strategy and support decision-making across a new and evolving function.
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is focused on evaluating emerging technologies, driving innovation, and shaping future platform strategy, apply today.
Contract Duration: 18 Months
Required Skills & Experience
5+ years of Specialty Software Engineering or Technology Research/Innovation experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
AI Solution Development
Analytical / Research
Business Cases
Executive Communication and Reporting
5+ years of experience in technology research, product/vendor evaluation, or innovation engineering, including hands-on delivery of at least one AI-driven automation or evaluation use case (preferred).
4+ years of experience leading end-to-end PoC or product evaluation initiatives, including defining scope, success criteria, standardized test patterns, execution plans, and scoring frameworks across multiple vendor solutions.
3+ years of experience working in infrastructure, platform, or cloud-native environments, with the ability to assess integration, scalability, resiliency, and risk of emerging technologies.
3+ years of experience building or enabling repeatable evaluation frameworks, including templates, scoring models, prompts, or workflows to standardize and scale product assessments.
3+ years of experience using AI/automation (LLMs, prompt engineering, agents, or coding in Python/Java) to accelerate research, analysis, and evaluation activities.
3+ years of strong Agile execution skills in a fast-moving, cross-functional environment.
3+ years of excellent technical writing and stakeholder communication skills to deliver decision-ready outputs (evaluation summaries, findings, scoring, and recommendations).
Desired Skills & Experience
Business Requirements & Test Strategy
Kubernetes
Observability
Product Development/Mgt
Experience designing and scaling structured evaluation frameworks, including scoring methodologies, comparative analysis, and standardized assessment approaches across multiple technologies.
Strong application of AI/automation to enhance research and evaluation workflows, including vendor analysis, test generation, and synthesis of insights into executive-ready deliverables.
Experience with infrastructure automation and environment configuration (IaC, CI/CD, or similar) to support repeatable PoC and evaluation setups.
Experience evaluating SaaS, infrastructure, observability, or platform vendors, including understanding integration complexity, data flows, identity/auth patterns, and operational readiness.
Familiarity with enterprise governance, risk, and compliance considerations, including data protection, PII, and regulatory requirements.
Strong background in platform and infrastructure technologies (e.g., OpenShift, observability tools) to validate technical depth and assess real-world applicability.
Demonstrated ability to produce executive-level recommendations, including structured summaries, POVs, and comparative analysis of vendor solutions.
Experience in technology scouting, competitive analysis, and identifying emerging solutions aligned to enterprise needs.
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
Advanced AI/ML certifications or equivalent applied expertise preferred.
What You Will Be Doing
Lead evaluation of emerging infrastructure, observability, automation, and platform technologies to determine internal adoption and strategic value.
Research vendor capabilities, product positioning, and enterprise use cases using public data, vendor materials, and AI-driven tools.
Define PoC criteria and assess production readiness, including scalability, resiliency, data protection, and regulatory considerations.
Build and maintain repeatable evaluation frameworks, templates, and workflows to standardize product assessments.
Facilitate vendor discussions, validate claims, and provide structured recommendations to stakeholders.
Strategically collaborate and consult with client personnel to shape innovation strategy and support decision-making across a new and evolving function.