Solutions Architect - AI Assisted Development (Austin, TX)

Remote
Full Time
Experienced

Solutions Architect - AI Assisted Development

iTMethods is recruiting a Solutions Architect to join a diverse, growth-oriented team, partnering with global clients and leading ISVs/partners to maximize value from our managed AI and DevOps platform. Enhance your career with mentorship, training, and leadership opportunities. The iTMethods ONE platform, a flexible, cloud-native solution, empowers enterprise innovation with its stack of AI-assisted development, DevOps tools, cloud infrastructure, and supported by core enterprise services, driving digital transformation for Fortune 1000 clients and fast-growing digital innovators. With over 20 years of experience managing mission-critical workloads, iTMethods collaborates with leading ISVs and hyper-scaler cloud providers to deliver plug-and-play, flexible solutions for the latest LLMs and agentic AI frameworks, ensuring rapid enterprise success.

Platform Features

AI-Assisted Development

  • Problem Statement: Enterprises face significant challenges in adopting AI-assisted development, including fragmented workflows, inconsistent code quality, slow deployment cycles, and security risks in AI integration. The rapid evolution of AI technologies, such as large language models (LLMs) and agentic AI, demands scalable, secure, and adaptable solutions to drive innovation without compromising compliance or operational efficiency, particularly in regulated industries like finance and healthcare. Additionally, organizations grapple with data protection concerns, requiring robust safeguards against breaches, and the need for isolated, air-gapped environments to meet stringent security and privacy requirements, compounded by the challenge of keeping pace with ever-changing tools and compliance mandates.
     
  • iTMethods Solutions: The iTMethods ONE platform addresses these challenges with a transformative AI-Assisted Development offering, built on key technological components that enable enterprise-wide and team level transformation, regardless of underlying tools or technologies. Its unparalleled flexibility allows hot swapping of tools and technologies like Lego blocks, adapting seamlessly to rapid changes and ongoing compliance needs. These solutions include:
     
    • Autonomous Workflows: Leverages agentic AI to automate code generation, testing, and optimization, reducing manual effort by up to 30% and accelerating delivery timelines
    • Intelligent Code Optimization: Employs advanced AI algorithms to enhance code quality, detect vulnerabilities, and improve performance, ensuring robust, production-ready applications
    • Real-Time Collaboration: Facilitates seamless integration of development teams with AI-driven insights, enabling cross-functional agility and faster decision-making
    • Secure AI Deployment: Provides a fortified environment for deploying AI models, featuring end-to-end encryption, compliance with ISO 27001, SOC 2 Type 2, HIPAA, and GDPR, and advanced data protection measures. This includes dedicated, single-tenant, air-gapped solutions within the cloud, ensuring complete data isolation and protection against external threats

DevOps Tools

  • Unified DevOps Toolchain: Integrates 50+ tools (e.g., Atlassian, Jenkins) in secure, single-tenant environments for seamless CI/CD
  • Expert-Led Support and AMS Integration: Offers expert-led support from seasoned DevOps professionals, enhanced by scalable AMS with a TAM and SLAs

Cloud Infrastructure

  • Managed Hybrid Cloud Connectivity: Secures traffic across AWS, Azure, GCP, and on-premise environments
  • Burst Capacity on Demand: Scales resources for AI tasks and testing requirements
  • Multi-Region Resilience: Ensures uptime with custom RPO/RTO configurations

CORE Enterprise Services

  • 24x7 Mission-Critical Support: Ensures uninterrupted operations
  • Security and Compliance: Meets ISO 27001, SOC 2, HIPAA, GDPR standards
  • Operational Efficiency: Includes FinOps for cost optimization
  • Application Managed Services (AMS): Provides scalable support with a TAM and SLAs
  • Expert Support: Offers continuous assistance from professionals

Role Overview

As a Solutions Architect - AI Assisted Development, you will design and implement solutions using the iTMethods ONE platform's AI-assisted development, DevOps tools, cloud infrastructure, and supported by core enterprise services (including AMS with a TAM) to address security, compliance, and scalability challenges. This hybrid role, based in Toronto, ON, or Austin, TX, blends remote flexibility with in-person collaboration, leveraging 20+ years of expertise to drive AI innovation.

Agentic AI—autonomous systems for code and workflow tasks—revolutionizes development. Embedding these with 24x7 support and AMS with a TAM enables quality, efficiency, and compliance gains, positioning you as a strategic advisor to enterprise clients.

A Day in the Life

Begin by analyzing a financial services client's needs for an AI-driven CI/CD pipeline, leveraging the unified DevOps toolchain, Coder, and AI-powered development workspaces. Collaborate with engineering to integrate Continue's AI code assistants using LangChain for agentic workflows, monitored by 24x7 mission-critical support. Conduct a Quarterly Business Review (QBR) with a healthcare client, showcasing 30% faster deployments enabled by burst capacity on demand and security and compliance services. Optimize costs using FinOps tools and coordinate a scalable AMS enhancement with the dedicated TAM. Conclude by researching AutoGen to enhance autonomous testing, ensuring alignment with AI trends.

Key Responsibilities

  • Design Enterprise Solutions: Architect solutions using the iTMethods ONE platform's AI-assisted development, DevOps tools, cloud infrastructure, and supported by core set of enterprise services, including application managed services (AMS) with a dedicated TAM, integrating Coder's cloud development environments, Continue's AI code assistants, Factory's unified workspaces, and AWS's scalable infrastructure
  • Deploy Agentic AI Workflows: Implement autonomous code generation, testing, and deployment within AI-powered development workspaces, supported by 24x7 mission-critical support and the scalable AMS with a TAM for expert-led enhancements
  • Ensure Security and Compliance: Utilize the security and compliance service to meet ISO 27001, SOC 2 Type 2, HIPAA, and GDPR standards, ensuring robust solutions for regulated industries
  • Leverage Platform Capabilities: Apply the unified DevOps toolchain, managed hybrid cloud connectivity, and burst capacity on demand to deliver scalable, resilient solutions with rapid deployment (1-3 months)
  • Drive Client Success: Partner with enterprise clients to tailor solutions, addressing challenges like legacy system integration and regulatory compliance, ensuring high engagement through expert support and the AMS TAM
  • Optimize Costs: Use FinOps tools for resource oversight and cost optimization, aligning with enterprise financial goals
  • Lead Strategic Engagements: Conduct QBRs to drive client retention and account growth, leveraging multi-region resilience for consistent performance
  • Innovate with AI Trends: Stay ahead of multimodal LLMs and agentic AI advancements, incorporating cutting-edge features into solutions

Success Metrics

  • Achieving 40%+ reduction in client deployment times through AI-driven pipelines
  • Driving 90%+ client satisfaction scores in QBRs
  • Increasing developer productivity by 35% via agentic AI workflows
  • Optimizing costs by 20%+ using FinOps tools
  • Maintaining 99.9% uptime for mission-critical workloads with 24x7 support
  • Meeting AMS SLA targets for functional support, enhancements, administration, and TAM responsiveness

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field; advanced degree preferred
  • 7+ years of experience in software architecture, focusing on AI, machine learning, or DevOps solutions
  • Expertise in AI-assisted development tools, including coding assistants & platforms, cloud development environments (e.g., Coder), and unified workspaces (e.g., Factory)
  • Experience with AI frameworks (e.g., TensorFlow, PyTorch, LangChain, AutoGen) and development environments (e.g., VS Code, JetBrains)
  • Strong knowledge of DevOps practices, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP)
  • Proficiency in agentic AI frameworks, multimodal LLMs, and autonomous workflow orchestration
  • Familiarity with security and compliance standards (ISO 27001, SOC 2, HIPAA, GDPR) and enterprise-grade DevOps toolchains
  • Proven ability to collaborate with global enterprise clients and internal teams, translating business needs into technical solutions
  • Excellent communication and presentation skills, with the ability to simplify complex technical concepts
  • Based in the Greater Toronto Area, Canada, or Austin, TX, or willing to relocate, with the ability to attend regular in-person meetings (up to 4 times per month)

What We Offer

  • Competitive Compensation: Attractive salary ($120,000–$180,000) in Toronto or Austin, based on experience and certifications) with performance-based bonuses and potential stock options.
  • Unique Benefits: Comprehensive health and wellness programs, flexible PTO, and subsidized AI certifications to support your professional growth.
  • Growth Opportunities: Advance your career with paths to Senior Solutions Architect, AI Strategy Lead, or DevOps Director, supported by tailored mentorship.
  • Innovative Environment: Work with cutting-edge AI technologies and a diverse team leveraging AI-assisted development, DevOps tools, cloud infrastructure, and core enterprise services, including AMS with a TAM.
  • Impactful Work: Drive outcomes for Fortune 1000 clients and digital innovators.
  • Team Engagement: Participate in hackathons, knowledge-sharing, and social events.

Ready to shape the future of enterprise AI? Please submit your resume and cover letter today!

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