Solutions Architect

SOLTECH is seeking a highly skilled, well-rounded, and consultative Solution Architect to join our growing team! If you are a seasoned consultant with superior hands-on skills in .NET, Node.js, React.js, application architecture, and custom software development — and you bring real-world experience designing and delivering AI-enabled solutions — this is the place for you. Remote role with onsite in our Buckhead/Atlanta, GA office on an as-needed basis. Responsibilities
Provide consulting expertise to SOLTECH clients to translate business visions into actionable software designs through requirements gathering, architecture design, and implementation planning.
Create project guidance deliverables including solution designs, low-fidelity wireframes, user stories, process diagrams, and conceptual data models.
Provide consulting and technical advisement in the form of technical assessments, system evaluations, and solution ideation, supported by strong communication and problem-solving skills.
Provide technical leadership and perform hands-on implementation in technologies including Node.js, React, .NET, Azure, AWS, and related platforms.
Design and support the implementation of AI-enabled application architectures, including model integration, data pipelines, and production deployment considerations.
Design and architect modern data solutions including Data Lakes, Data Warehouses, and cloud-based analytics platforms to support enterprise reporting, AI enablement, and scalable application development.
Provide architectural guidance for modern data stack tooling such as Databricks, dbt, Snowflake, and related ecosystem technologies.
Utilize strong leadership and consulting skills to support pre- and post-sales stages, including upfront solution recommendations, architecture direction, and project scoping.
Collaborate with clients to define AI and data strategies, ensuring alignment between business goals, data architecture, and AI implementation plans. Qualifications
Current, hands-on, senior-level experience with back-end programming languages such as Node.js and .NET (C#), with familiarity in other languages such as Python or PHP a plus. Candidates must be comfortable with regular hands-on coding and mentoring engineers through complex technical challenges.
Senior-level experience with a front-end JavaScript framework such as React, Angular, or Vue (React preferred).
Superior experience with cloud architecture and deployments in Azure and AWS.
Experience designing and implementing containerized solutions using Docker, with Kubernetes experience a plus.
Hands-on experience delivering enterprise web and mobile applications in a consulting environment.
Demonstrated experience architecting and delivering AI-enabled solutions in real-world, production environments, beyond basic AI-assisted development tools. AI + Data Platform Experience (Strongly Preferred):
Experience designing and delivering modern data platforms, including Data Lakes and Data Warehouses.
Hands-on experience with cloud data and analytics tools such as Databricks, Snowflake, dbt, and related technologies.
Experience deploying AI/ML solutions using platforms such as Azure OpenAI, AWS SageMaker, or Databricks.
Ability to speak confidently and credibly to: ~Integrating AI or machine learning models into applications ~Implementing Retrieval-Augmented Generation (RAG) solutions ~Fine-tuning or extending models using approaches such as LoRA
Exposure to data platforms and analytics tools (e.g., Snowflake, Power BI, Tableau) is a plus, particularly where experience bridges data, AI, and application development.
Strong understanding of scalability, security, and operational considerations for AI solutions in production.
Proven ability to consult and collaborate with external clients and clearly articulate technical solutions that align with business needs, particularly in live discussions and sales-facing scenarios.
Experience with solution design methodologies including requirements facilitation, wireframing, user story development, flow diagramming, and use case modeling.
Methodology-driven design experience.
Experience with Big Data, AI/ML, or advanced analytics solutions is a strong plus.