Onsite Applied AI Engineer opportunity in San Francisco building production autonomous agents, memory systems and evaluation infrastructure. $150,000-$250,000 plus equity.
Group Product Manager – GRC & RMIS | Remote, United States
Senior Technical Lead, Architecture – Enterprise Risk Delivery | McLean, VA or Plano, TX
Location: McLean, Virginia or Plano/Dallas, Texas
Work Arrangement: Primarily onsite, with up to six remote weeks per year subject to manager approval
Employment Type: Full-time
Visa Sponsorship: Not available
Relocation Assistance: Available for exceptional candidates
Compensation: $210,000–$230,000 base salary plus annual bonus; approximately $250,000–$280,000 OTE depending on experience
Overview
A leading financial-services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise-risk technology initiatives.
This Director-level individual-contributor role will design and govern enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes and Compliance. The successful candidate will partner with engineering, data, product, security and business stakeholders to drive enterprise modernization, cloud transformation and Generative AI adoption.
Key Responsibilities
Enterprise Solution Architecture
• Design secure, scalable enterprise solution architectures.
• Define architectural blueprints and implementation roadmaps.
• Establish architecture standards, design patterns and best practices.
• Ensure long-term scalability, maintainability and resilience.
• Lead architecture reviews and complex technical decisions.
• Balance innovation, delivery speed and technical debt.
Enterprise Risk Technology
• Deliver technology solutions supporting financial risk, non-financial risk, financial crimes and regulatory compliance.
• Enable enterprise data integration and risk analytics.
• Support regulatory obligations through modern technology platforms.
• Align risk solutions with enterprise architecture, security and data standards.
Cloud and Modern Engineering
• Architect cloud-native enterprise solutions.
• Drive modernization across distributed systems.
• Lead API-first and microservices-based architecture strategies.
• Design integration patterns and micro-frontend solutions.
• Apply twelve-factor application-design principles.
• Support enterprise AI, Generative AI and AI-enabled solution initiatives.
• Guide use of AWS, Azure or GCP, Kubernetes, Kafka and modern engineering platforms.
• Promote CI/CD, DevOps, Agile delivery and enterprise platform engineering.
Technical Leadership and Collaboration
• Provide technical leadership across engineering, architecture and product teams.
• Mentor engineers and influence technical direction without formal line-management authority.
• Translate complex business requirements into practical technical solutions.
• Collaborate with enterprise architecture, security, data and engineering organizations.
• Influence executives through clear technical communication.
• Evaluate emerging technologies against strategic goals.
• Drive enterprise transformation while remaining hands-on with architectural decisions.
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering or a related discipline.
• At least 10 years of hands-on software-engineering experience.
• At least eight years in architecture or senior technical leadership.
• Extensive experience leading large-scale enterprise architecture initiatives.
• Enterprise solution architecture, cloud architecture, microservices, API architecture and integration expertise.
• Experience designing cloud-native architectures using AWS, Azure or GCP.
• Strong experience with Kubernetes, Kafka, Java, Python and modern distributed systems.
• Experience with Angular, micro frontends and twelve-factor application design.
• Knowledge of CI/CD, DevOps, Agile delivery and enterprise platform engineering.
• Experience implementing or architecting Generative AI or AI-enabled solutions.
• Experience within a highly regulated industry such as financial services, banking, mortgage or healthcare.
• Strong architecture-governance, executive-communication and cross-functional leadership skills.
• Ability to work primarily onsite in McLean, Virginia or Plano/Dallas, Texas.
• Current authorization to work in the United States without sponsorship.
Preferred Qualifications
• Master’s degree.
• Mortgage or housing-finance experience.
• AWS Solutions Architect Professional or equivalent cloud certification.
• Enterprise digital-transformation leadership.
• Enterprise data-platform and analytics experience.
• Regulatory-technology experience.
Ideal Candidate
The ideal candidate is an experienced enterprise architect with deep cloud and modern-software expertise. They will have led architecture strategy across complex enterprise environments, delivered within regulated industries and influenced executive stakeholders while remaining close to technical decision-making.
They will combine AWS, Kubernetes, Kafka, Java, Python, APIs, microservices, DevOps and GenAI knowledge with sound architecture governance and the ability to turn complex risk and compliance challenges into scalable enterprise solutions.
Equal Opportunity
The organization is an Equal Opportunity Employer and considers qualified applicants without discrimination based on any status protected under applicable federal, state or local law.
Senior Technical Lead, Enterprise Risk Architecture – McLean, VA
Senior Technical Lead, Architecture – Enterprise Risk Delivery
📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus
Overview
A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.
This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.
Key Responsibilities
Enterprise Solution Architecture
Design enterprise-scale, secure, and scalable solution architectures.
Define architectural blueprints and implementation roadmaps.
Establish architecture standards, design patterns, and best practices.
Ensure long-term scalability, maintainability, and resilience of enterprise platforms.
Technical Leadership
Provide technical leadership across engineering, architecture, and product teams.
Mentor engineering teams and influence technical direction.
Conduct architecture reviews and provide guidance on complex technical decisions.
Balance innovation, delivery speed, and technical debt.
Enterprise Risk Technology
Deliver technology solutions supporting:
Financial Risk
Non-Financial Risk
Financial Crimes
Regulatory Compliance
Enable enterprise data integration and risk analytics.
Support regulatory compliance through modern technology solutions.
Cloud & Modern Engineering
Architect cloud-native enterprise solutions.
Drive modernization initiatives across distributed systems.
Lead API-first, microservices-based architecture strategies.
Support enterprise AI and Generative AI initiatives.
Stakeholder Collaboration
Partner with business leaders to translate requirements into technical solutions.
Collaborate with enterprise architecture, security, data, and engineering organizations.
Influence executive stakeholders through clear technical communication.
Evaluate emerging technologies aligned with strategic business goals.
Required Qualifications
Education
Bachelor's Degree in Computer Science, Engineering, or a related discipline.
Master's Degree preferred.
Experience
✔ 10+ years of software engineering experience.
✔ 8+ years in architecture or senior technical leadership.
✔ 15+ years of overall technology experience preferred.
✔ Experience leading large-scale enterprise architecture initiatives.
✔ Experience within highly regulated industries such as:
Financial Services
Banking
Mortgage
Healthcare
Technical Expertise
Enterprise Architecture
Solution Architecture
Enterprise Architecture
Microservices Architecture
API Design & Integration
Integration Patterns
Micro Frontends
Twelve-Factor Application Design
Cloud Platforms
AWS (Preferred)
Microsoft Azure
Google Cloud Platform (GCP)
Modern Technologies
Kubernetes
Kafka
Java
Python
Angular
DevOps & Engineering
CI/CD
DevOps Practices
Agile Methodologies
Enterprise Platform Engineering
Artificial Intelligence
Generative AI (GenAI)
AI Solution Design
Enterprise AI Integration
Preferred Qualifications
Experience within the mortgage or housing finance industry.
Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).
Experience leading enterprise digital transformation initiatives.
Background in enterprise data platforms and analytics.
Experience supporting regulatory technology solutions.
Must-Have Skills
Architecture
Enterprise Solution Architecture
Cloud Architecture
Microservices
API Architecture
Enterprise Integration
Cloud & Infrastructure
AWS (Preferred)
Azure or GCP
Kubernetes
Kafka
Development
Java
Python
Angular
Leadership
Technical Leadership
Enterprise Strategy
Executive Communication
Cross-Functional Collaboration
Architecture Governance
Modern Engineering
CI/CD
DevOps
Agile Delivery
AI / GenAI
Screening Questions
Do you have at least 10 years of hands-on software engineering experience?
Do you have 8 or more years of experience in solution architecture or technical leadership?
Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?
Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?
Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?
Do you have experience implementing or architecting Generative AI or AI-enabled solutions?
Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?
Have you led enterprise transformation or modernization initiatives?
Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?
Are you comfortable working onsite in McLean, VA with limited remote flexibility?
Ideal Candidate Profile
The ideal candidate will:
Be an experienced enterprise architect with deep technical expertise.
Have successfully led architecture strategy across complex enterprise environments.
Possess extensive cloud architecture experience, particularly with AWS.
Demonstrate expertise in modern software engineering, APIs, and microservices.
Have experience delivering technology within highly regulated industries.
Be comfortable influencing executives and senior business stakeholders.
Mentor engineering teams while remaining hands-on with architectural decision-making.
Drive innovation through cloud modernization, DevOps, and AI technologies.
Candidate Snapshot
Requirement
Details
Experience
15+ Years Overall Technology Experience
Leadership
Director-Level Individual Contributor
Architecture
Enterprise Solution Architecture
Cloud
AWS (Preferred), Azure, GCP
Technologies
Kubernetes, Kafka, Java, Python, Angular
Engineering
Microservices, APIs, DevOps, CI/CD
Industry
Financial Services / Highly Regulated Environment
AI
GenAI & Enterprise AI Solutions
Location
McLean, VA
Work Arrangement
Primarily Onsite (Up to 6 Remote Weeks Per Year)
Compensation
$210K – $230K + Bonus
Relocation
Available for Exceptional Candidates
What Makes Someone Successful in This Role?
Deep expertise in enterprise architecture and cloud-native solution design.
Strong leadership while operating as a hands-on technical contributor.
Ability to translate complex business challenges into scalable technical solutions.
Experience driving enterprise modernization and digital transformation.
Strong understanding of risk, compliance, and secure architecture within regulated industries.
Exceptional communication skills with both executive leadership and engineering teams.
Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.
CTO Co-Founder – Healthcare Payments AI Startup – New York, NY
CTO Co-Founder – Healthcare Payments AI Startup
📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity
Overview
A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.
The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.
Key Responsibilities
Technology & Product Leadership
Own the technology vision, architecture, and engineering roadmap.
Build and launch the company’s initial MVP and commercial platform.
Evaluate and select the technology stack and infrastructure.
Design secure, scalable systems for healthcare payment and claims workflows.
AI & Workflow Automation
Build AI-driven workflow automation and operational intelligence capabilities.
Develop data ingestion, normalization, and decision-support solutions.
Implement automation for claims, reimbursement, reconciliation, and payment processes.
Engineering Leadership
Recruit, hire, and lead the founding engineering team.
Establish development standards, processes, and engineering culture.
Drive execution from concept through production deployment.
Strategic Collaboration
Work directly with the CEO, investors, advisors, and early customers.
Translate customer needs into scalable technical solutions.
Support fundraising, product strategy, and commercial growth initiatives.
Required Qualifications
Experience
✔ 0-to-1 Product Development Experience
✔ Hands-On Software Engineering & Architecture
✔ AI / ML & Workflow Automation
✔ Engineering Team Leadership
✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience
✔ 10+ Years of Technical Experience
Education
Bachelor's Degree in Computer Science, Engineering, or related field.
Graduate of a top-tier university strongly preferred.
Preferred Backgrounds
Healthcare Technology
Revenue Cycle Management (RCM)
Claims Processing Platforms
Payments & FinTech
AI Workflow Automation
Enterprise SaaS
Data Infrastructure
Healthcare Interoperability
Ideal Candidate
The ideal candidate is a builder-first technical leader who has:
Personally built and launched software products from MVP to production.
Experience operating in startups or high-growth environments.
Strong software architecture and coding skills.
Experience developing AI-powered products or automation platforms.
Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.
Experience recruiting and leading engineering teams.
Ability to communicate effectively with customers, executives, and investors.
Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.
Candidate Snapshot
Requirement
Details
Level
CTO / Co-Founder
Experience
10+ Years
Location
New York, NY (Onsite)
Industry
Healthcare AI / FinTech
Education
Bachelor's Degree Required
Equity
15–20%
Relocation
No
Sponsorship
No
Screening Questions
Have you personally built and launched a software product from MVP to production?
Describe your experience leading 0-to-1 product development initiatives.
What AI, machine learning, or workflow automation products have you built?
Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?
Have you recruited and led engineering teams in a startup or high-growth environment?
What programming languages, frameworks, and cloud technologies have you used to build scalable products?
Are you comfortable being a hands-on contributor while also leading the engineering organization?
Are you able to work onsite in New York City?
What Makes Someone Successful in This Role?
Founder mentality and bias toward action.
Strong technical depth with hands-on coding capability.
Experience building products in regulated, transaction-heavy environments.
Ability to move quickly from concept to commercial product.
Strong communication skills with both technical and non-technical stakeholders.
Passion for using AI to solve complex operational challenges.
Desire to build and scale a company, not just a technology platform.
AWS Bedrock Developer (GenAI Engineer) | $70/hr Contract | Dallas, TX | 6-Month Project
AWS Bedrock Developer
📍 Location: Dallas, TX (Onsite)
📅 Contract Length: 6 Months
💵 Pay Rate: $70 per hour
💼 Employment Type: Contract | Mid-Senior Level
🛂 Visa Sponsorship: Not available
🚚 Relocation Assistance: Not available
👤 Openings: 1
About the Role
We are seeking an experienced AWS Bedrock Developer / GenAI Engineer with a strong background in cloud computing and generative AI. This role will focus on transforming Contact Center applications using GenAI and leveraging AWS Bedrock to deliver scalable, innovative solutions.
You’ll work hands-on with AWS services, Terraform, and automation frameworks, helping to design, integrate, and optimize cutting-edge GenAI solutions in a mission-critical environment.
Key Responsibilities
Design and implement GenAI solutions using AWS Bedrock.
Lead transformation of Contact Center applications with generative AI capabilities.
Automate server and infrastructure provisioning using Terraform.
Develop and optimize AWS Lambda functions, Step Functions, and SSO integrations.
Integrate on-premise systems with AWS Bedrock for seamless enterprise adoption.
Collaborate with cross-functional teams to deliver scalable and secure architectures.
Must-Have Skills
10+ years of IT experience.
7+ years of AWS Cloud Computing expertise.
Proven hands-on experience with AWS Bedrock for GenAI solutions.
Strong experience with Terraform for infrastructure as code.
Expertise in AWS Lambda, Step Functions, and SSO integrations.
Experience integrating on-premise systems with AWS Bedrock.
Ideal Candidate Profile
Bachelor’s degree in Computer Science, Engineering, or related field.
Strong technical communicator, able to work with technical and business stakeholders.
Ability to design and implement scalable, secure, and innovative AI-driven solutions.
Key Skills
AWS Bedrock | GenAI | AWS Cloud | Terraform | AWS Lambda | Step Functions | SSO Integrations | Contact Center Transformation | Cloud Automation
⚡ This role offers the chance to work at the forefront of Generative AI innovation in the enterprise space, shaping next-generation solutions for large-scale applications.