Agentic Automation Solution Architect (NA Lead)

About TQA

Headquartered in Texas, USA, we’re an international technology services and consultancy, partnering with enterprises across North America and Europe to deliver next-generation results through emerging technologies.

With delivery centers in Romania, the Philippines, and LATAM and offices in Austin, Alabama, Cardiff, and London, we are expanding rapidly in 2025 and beyond. This is an exciting time to join us as we scale our global presence, innovate with automation, AI, and data, and empower businesses to transform their industries.

At our core, we believe in innovation, impact, and growth—both for our clients and our people. We offer an accelerated career path, giving you the opportunity to work on cutting-edge projects, develop your expertise, and grow into leadership roles quickly. If you're looking for a fast-paced, dynamic environment where you can make a real impact, this is the place for you.

Position Overview:

This is not a typical pre-sales role. We are looking for a hands-on technical leader who can bridge the worlds of high-level enterprise automation platforms and deep, developer-centric AI. You will be the primary technical authority in the pre-sales cycle, responsible for designing innovative solutions that solve our clients' most complex challenges. You will move beyond configuring existing tools to architecting bespoke agentic ecosystems from the ground up, combining the rapid deployment benefits of platforms like Microsoft Power Platform and UiPath with the extended potential of custom code, advanced data architectures, and foundational AI models.

Your role is to inspire clients and guide our delivery teams by creating a technical vision that is both ambitious and achievable.

Key responsibilities:

• Solution Envisioning & Design: Lead technical discovery workshops with enterprise clients to understand their business drivers, technical landscape, and strategic goals. Architect end-to-end agentic solutions that are robust, scalable, and secure.
• Hybrid Architecture Development: Design solution blueprints that strategically combine the strengths of low-code/no-code platforms (e.g. Microsoft Copilot Studio, Power Automate, UiPath, ServiceNow WFDF) with custom-developed components, microservices, and advanced data pipelines.
• Proof of Concept (POC) & Prototyping: Build and present compelling, hands-on proofs of concept that demonstrate the tangible value of the proposed agentic solution, often integrating multiple technologies to solve a real-world problem.
• Technical Evangelism & Thought Leadership: Act as a trusted advisor to clients and internal teams on emerging trends in agentic AI, including LLMs, agentic frameworks, vector databases, and MLOps principles.
• Foundational Technology Evaluation: Evaluate and recommend the appropriate foundational technologies for a given solution, including agentic frameworks, programming languages, data stores, and cloud AI services, to ensure optimal performance and scalability.
• Pre-Sales Collaboration: Partner closely with the sales team to provide deep technical expertise, develop sales strategies, create proposals, and ensure the technical feasibility and accuracy of statements of work.
• AI Governance & Ethics: Champion and embed Responsible AI principles—including security, fairness, traceability, and explain-ability — into every solution design.

Required Skills and Experience:

• Experience: 8+ years of experience in a senior technical role such as software engineering, data engineering, or solution architecture, with at least 3+ years focused on designing and deploying AI/ML or data-intensive systems.
• Enterprise Automation Expertise: Demonstrated expertise in the architecture and application of at least one major enterprise automation or low-code platform: Microsoft Power Platform (especially Copilot Studio, Power Automate), UiPath, or ServiceNow.
• Core Development Proficiency: Strong, hands-on proficiency in Python and familiarity with its key AI, ML, and data manipulation libraries (e.g., Hugging Face Transformers, Pandas, spaCy).
• Generative AI & LLM Acumen: Deep, practical understanding of Large Language Models (LLMs) and the core concepts of building with them, including Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and function calling.
• API & Service Architecture: Proven experience designing, building, and consuming RESTful APIs and architecting solutions based on a microservices pattern (e.g., using FastAPI, Flask).
• Cloud AI Services: Experience architecting solutions using managed AI/ML services from a major cloud provider (Azure preferred, including Azure OpenAI Service and Azure AI Search).
• Client-Facing Skills: Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both executive and engineering audiences.

Preferred Qualifications (Nice-to-Have)

• Agentic Frameworks: Hands-on experience building agents or copilots using modern agentic frameworks like LangChain, Semantic Kernel, LlamaIndex, or AutoGPT.
• Advanced Data Architecture: Experience with vector databases (e.g., Azure AI Search, Pinecone, Weaviate, pgvector) and/or graph databases (e.g., Neo4j) for enabling semantic search and knowledge retrieval.
• MLOps & DevOps: Familiarity with MLOps principles and tools for the end-to-end ML lifecycle (e.g., Databricks, MLflow) and modern DevOps practices, including CI/CD and containerization (Docker, Kubernetes).
• Broader Programming Experience: Familiarity with other languages relevant to enterprise systems, such as C#/.NET, Java, or TypeScript/JavaScript.
• Data & Analytics Platforms: Experience with enterprise-grade data platforms like Databricks or Microsoft Fabric.

TQA is an equal opportunities employer. We welcome your application and believe in diversity of experience and opinion. Applications will be considered without regard to education, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, color, religion, disability, sexual orientation, and beliefs. We celebrate multiple approaches and points of view and believe passionately that employing a diverse workforce is central to our growth and success, so we are building a culture where difference is valued.