Senior Software Engineer - AI Workflow Automation (Contract)
Concurrency • USWho We Are
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Gold Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.
Who We’re Looking For
We’re excited to add a Senior Software Engineer with a focus on AI Workflow Automation to our Product Engineering team. In this role, you’ll partner with internal teams and customers to design and implement intelligent, automated systems that streamline document-heavy, process-driven workflows.
This role goes beyond traditional application development—you’ll bring strong software engineering fundamentals while spending the majority of your time designing, orchestrating, and hardening automated workflows using Azure-native services and AI driven components.
At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt
What You'll Do
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Work closely with internal stakeholders and customers to gather requirements and shape modern, automation first solutions
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Participate in the planning, design, and development of intelligent workflow systems, including enhancements and iterative refinements
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Provide senior level contribution to projects responsible for the design, development, and implementation of critical business systems, with attention to reliability, scalability, and observability
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Build and refine automated workflows, including: Email ingestion, extraction, normalization, comparison, and exception routing
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Configure and validate document extraction accuracy, continuously tuning for edge cases
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Implement matching logic and exception categorization to support reliable downstream processing
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Test pilot behavior, tune edge cases, and harden workflows for production reliability
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Work closely with a Technical Architect while owning the hands-on implementation and day to day engineering decisions
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Research and evaluate emerging AI and automation technologies to improve existing systems and processes
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Drive consistency across projects and advocate for automation, reusability, and process improvement
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Collaborate with customers to troubleshoot issues and deliver a positive, transparent customer experience
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Submit daily hours billed to cloud-based project management software (Kantata)
What You'll Need
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Strong object oriented programming foundation with the ability to design clean, maintainable systems
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Professional experience with Python or C#/.NET
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Experience building automation centric systems, including orchestration, integration, and exception handling
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Hands-on experience designing and implementing systems in Microsoft Azure
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Familiarity with Azure Virtual Network concepts and cloud networking fundamentals
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Experience building or contributing to AI driven systems, particularly those involving document processing, extraction, or decision support
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Exposure to cloud native architecture and distributed systems
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Understanding of the full software development lifecycle, from design through production support
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Strong problem solving, communication, and organizational skills
What Will Set You Apart
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Experience working in a professional services or consulting environment
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Experience with AI orchestration, workflow engines, or multiagent systems
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Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure as code (Terraform or Bicep)
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Experience designing systems with human in the loop review and exception handling
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Contributions to opensource projects or community driven development