Lead the technical shape of AI systems, design agentic and LLM powered solutions, and mentor team members while ensuring security, compliance, and commercial success.
Responsibilities
Lead architecture discovery and design for AI solutions
Act as the technical lead on AI engagements
Design systems with clear schemas, evaluation loops and validation gates
Stay hands on, prototyping and building critical pieces
Own security design and compliance guardrails for AI in regulated environments
Senior Consultant in Digital Risk practice supporting TMT companies on cloud-native, AI-enabled, and platform-based operating models, focusing on risk, compliance, and control activities.
Locations (7)
Seattle, Washington, United States
New York City, United States
Boston, United States
Washington DC, United States
Washington, United States
G
Senior .NET Developer – Digital Payments & Subscription Commerce
Support and expand a business-critical B2B2C Pay Over Time digital payment solution that connects customers, dealers, internal business processes, and external payment and financing partners.
Compensation
The expected salary range for this position is 65-75 per hour, depending on experience and qualifications.
Responsibilities
Own solutions from design and architecture through the full production lifecycle
Design, develop, test, deploy, and maintain enterprise applications using C#, ASP.NET, ASP.NET Core, MVC, and Web API
Implement and operationalize subscription capabilities, including pricing plans, purchase and activation, renewals and expirations, upgrades and downgrades, entitlements and service activation, and invoice and transaction history
Design and build domain-driven, bounded-context solutions using microservices and event-based architectures, including containerization, asynchronous messaging, API versioning and contract management, and distributed tracing
Build and consume RESTful APIs and web services to integrate with internal systems and external payment and financing partners
Requirements
Bachelor's degree in Computer Science, IT, Engineering, or a related field preferred
Nice to have: Microsoft certifications
Nice to have: cloud certifications
Nice to have: DevOps certifications
Nice to have: leading small or onshore/offshore teams
Designs and develops solutions based on business requirements. Interfaces with clients to identify specific system requirements and feasibility of solutions. Provides integration strategies and assists in troubleshooting component applications and technologies.
Responsibilities
Spearheads the analysis, evaluation, modification, testing, and implementation of enterprise-wide systems as the internal subject matter expert.
Lead the design and architecture of innovative solutions that solve complex business challenges from proof of concept to productional deployment.
Researches, analyzes, designs, proposes, and delivers solutions that are appropriate for the company's business and technology strategies.
Leads the diagnoses of complex problems and issues with enterprise-wide systems and successfully executes solutions that impact the entirety of the IT organization.
Develops programming and development standards and procedures as well as program architectures for code reuse.
Requirements
Bachelor’s degree in computer science, information systems, or related field
Design & Architect cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework for a US Government client.
Locations (2)
Raleigh, North Carolina, United States
Eagan, Minnesota, United States
Responsibilities
Design & Architect cloud solutions (IaaS, PaaS, SaaS) aligned with a Microservices/SOA framework; produce implementation-ready documentation including bill of materials and cost estimates.
Develop and publish cloud policies, design patterns, and reference architectures for consistent, repeatable solutions.
Champion cultural change, build roadmaps, and communicate cloud strategies to stakeholders at all levels.
Serve as a hands-on technical authority responsible for designing, developing, and delivering innovative, production-ready AI solutions for clients within Crowe Studio's Forward Deployed Engineering practice.
Compensation
A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year.
Responsibilities
Architect and develop end-to-end applied AI solutions, including generative AI applications, agentic systems, retrieval-augmented generation (RAG), and AI-enabled enterprise workflows
Lead solution architecture for AI build and proof-of-concept engagements
Remain hands-on across solution development, including application coding, data integration, prototyping, debugging, and technical implementation
Design and implement cloud-native AI solutions using Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP)
Define architecture and integration patterns for large language models (LLMs), vector databases, APIs, microservices, enterprise data platforms, and client systems
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field
Nice to have: Master's degree in a technical field
Nice to have: Cloud or architecture certifications
Lead and manage engineering teams to deliver high‑quality software solutions, drive technical excellence, and align engineering strategy with business objectives.
Responsibilities
Lead engineering teams and foster a high‑performance culture
Oversee timelines, resource allocation, risk management and task prioritization
Mentor and support team members’ professional growth and conduct performance reviews
Evaluate and enhance engineering processes, tools and methodologies
Collaborate with product managers, designers and stakeholders to translate business requirements into technical solutions
The salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $125,800 to $209,700
Bay Area California offices – $131,100 to $218,500
All other offices locations in the US, including Sacramento – $104,800 to $192,200
Responsibilities
Execute activities across cloud platforms, microservices architectures, and AI-enabled development environments, including risk assessments, control design, and testing
Support engagement teams by working with client stakeholders (e.g., IT, engineering, and business teams) to deliver clear, accurate, and actionable outputs
Perform analysis and documentation of IT controls, processes, and system environments, ensuring completeness and quality of deliverables
Contribute to the design and evaluation of controls across DevOps, CI/CD pipelines, SDLC/PDLC processes, and distributed platforms, including APIs, microservices, and data environments
Support identification and assessment of risks within AI-enabled development environments and automated engineering workflows
Requirements
Bachelor’s or master’s degree in business, accounting, computer science, engineering, or a related field
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