AI Architect

Forte Group, Inc.

  • Atlanta, GA
  • 8 days ago

    Highlights

    Recent engagements have included designing an AI-augmented product development lifecycle for a 170+ instance SaaS platform in financial services; architecting a reusable AI agent framework for document processing that cut new agent delivery from months to weeks; and scoping AI adoption across a PE firm's portfolio companies with rapid-deployment acceleration pods. You'll design AI architectures for production environments, build proof-of-concepts that earn trust with skeptical engineering leaders, and provide technical oversight to the delivery teams executing the work.

    Numbers & Facts

    LocationAtlanta, GA

    Description

    back to jobs

    AI Architect

    Georgia

    Posted last month

    Remote

    J-003608

    apply

    share:

    Posted last month

    Remote

    J-003608

    AI Architect

    Looking for your next big opportunity? Join our incredible community of tech enthusiasts and innovators! Check out the vacancy below and send us your CV - we'd love to hear from you.

    About the Role

    Forte is hiring an AI Architect to define how AI gets built into real engineering organizations. You'll own the technical direction across a portfolio of client engagements spanning fintech, healthcare, SaaS platforms, and PE-backed portfolio companies in the US and Europe.

    This is not a strategy-deck role. You'll design AI architectures for production environments, build proof-of-concepts that earn trust with skeptical engineering leaders, and provide technical oversight to the delivery teams executing the work. You carry the same weight in a room as a client's CTO because you have done comparable work.

    You'll work across multiple clients simultaneously - and that cross-pollination is the job: patterns you identify on one engagement accelerate the next. You'll also contribute to a growing internal knowledge base of reference architectures, prompt governance models, and integration patterns that compound over time.

    What Youll Do

    Define AI integration architecture for client engineering organizations. Recent engagements have included designing an AI-augmented product development lifecycle for a 170+ instance SaaS platform in financial services; architecting a reusable AI agent framework for document processing that cut new agent delivery from months to weeks; and scoping AI adoption across a PE firm's portfolio companies with rapid-deployment acceleration pods.

    On a typical engagement, you will:

    • Assess a client's engineering maturity (CI/CD, testing discipline, DORA metrics, existing AI adoption) and design an AI integration approach that fits their reality, not an idealized version of it.
    • Architect agentic workflows, prompt library structures, and AI-assisted delivery pipelines tailored to the client's technology stack and regulatory constraints.
    • Build proof-of-concepts that demonstrate measurable impact - one recent POC achieved 95%+ extraction accuracy on structured data from unstructured financial documents across multiple formats.
    • Run technical workshops during pre-sales to validate feasibility and scope engagements: you set up the technical conversation, and the consulting team handles the business case.
    • Provide hands-on oversight to AI Practitioners on active accounts: architecture reviews, prompt library governance, integration pattern validation, and unblocking technical issues.
    • Contribute reference architectures, integration guides, and lessons learned to the internal knowledge base after every engagement.

    What Were Looking For

    Must Have

    10+ years across software architecture, engineering leadership, or technical consulting, with hands-on AI delivery experience in production environments.

    AI & LLM Systems

    • LLM integration patterns: RAG, function calling, tool use, agent orchestration
    • Prompt library architecture, governance, and versioning at team scale
    • AI tool evaluation: structured assessment methodology, not reliance on vendor demos
    • Hallucination management: layered validation, confidence scoring, human-in-the-loop design
    • Evaluation and observability frameworks (LangSmith, Braintrust, or custom)
    • Understanding of when AI is the wrong tool, and the ability to say so

    Architecture & Engineering

    • Distributed systems design, API design (REST, GraphQL, gRPC), event-driven architectures
    • CI/CD pipeline design, engineering metrics (DORA framework), and delivery measurement
    • Security and compliance review for AI workflows, including data residency and PII handling
    • Cloud infrastructure on at least one major provider (AWS, Azure, or GCP)
    • Infrastructure as code (Terraform or equivalent)

    Client-Facing & Delivery

    • Pre-sales technical validation: workshop facilitation, feasibility assessment, POC scoping
    • Mentoring senior engineers and providing cross-account technical governance
    • Experience with enterprise clients in regulated industries (fintech, healthcare, financial services)
    • Comfort operating across US and European markets

    Specific languages and frameworks matter less than your ability to architect AI systems across different technology stacks. Deep experience in one ecosystem and working fluency across others is the profile.

    Nice to Have

    None of the following is required. Each one is an advantage on engagements where classical machine learning sits alongside generative AI - a combination we see more often than not.

    Machine Learning & Data Science

    • Classical ML foundations: supervised and unsupervised methods, feature engineering, model selection, and the ability to judge when a conventional model beats an LLM
    • Experience with the full model lifecycle: training, validation, deployment, monitoring, and retraining
    • MLOps tooling and practice (MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent) and the architecture decisions behind it
    • NLP or computer vision delivery predating the LLM era, including the evaluation discipline that came with it
    • Data engineering and platform architecture: pipelines, feature stores, warehouse and lakehouse design
    • Working knowledge of model risk, bias testing, and explainability requirements in regulated industries
    • Advanced degree or research background in ML, statistics, or a related quantitative field

    What Sets You Apart

    You can whiteboard an architecture and defend every decision. You talk about tradeoffs, not tools. When asked about AI, you describe when you chose not to use it, not just when you did. You have opinions about prompt governance and evaluation frameworks that come from building things, not reading about them. You're comfortable presenting to a client's CTO in the morning and debugging a failing POC that evening.

    We Offer

    • Work your way - anywhere, anytime. Our remote-first approach lets you choose where and how you work best!
    • Experience working with diverse teams and gaining international expertise.
    • A friendly, supportive team and an enjoyable work environment where your ideas matter.
    • A chance to work on exciting, challenging projects using cutting-edge technologies that make a real impact.
    • Free training programs, reimbursement for certifications, and access to online learning platforms to fuel your growth.
    • Referral bonuses, regular performance reviews, and full support for business trips.
    • Corporate events and holiday presents

    Join a team that invests in your well-being, growth, and success!

    apply

    recommend a friend

    share:

    About us

    Forte Group is a remote-first, AI-native product development partner. Headquartered in Boca Raton, USA, we've had the privilege of delivering cutting-edge solutions to over 400 global clients, including Fortune 500 giants. Today, we bring together 800+ team members across 12 locations in the US, Europe (Poland, Ukraine), and LATAM (Colombia, Argentina, Mexico). Built on 25+ years of enterprise relationships and a 90% long-term client engagement rate, we operate as a dedicated partner - not just a vendor. We take pride in being large enough to make a significant global impact, while still fostering a close-knit, caring environment. At Forte Group, we encourage lifelong learning, support your unique ideas, and truly grow together as a team.

    Forte Group Disclaimer

    Meet our global team of technologists

    From our roots in QA, weve grown into an AI-first product development partner for enterprise clients. Choose Forte Group to take the next step in your career:

    • Internal Growth:60% of our managers built their careers right here at Forte Group.
    • AI-First Mindset:100% of our employees have completed specialized AI training or certifications.
    • True Flexibility:Our remote-first approach empowers you to design your workspace and schedule for optimal work-life balance.

    We believe great software starts with great people like you!

    Our values

    Empowering Individuals and Teams for Maximum Impact

    We believe in collaboration, autonomy, trust, and well-being to foster a transparent and supportive environment within and outside our Company.

    Continuous Learning Shapes Our Future

    We empower people to pursue growth and innovation, driving lasting change and success through passion and curiosity.

    Commitment to Excellence Fuels Our Success

    We are dedicated to delivering excellence and innovation. We adapt to new ideas and technologies for high-quality outcomes.

    Similar Jobs