Solutions Architect

Supervity; Northern (KY); Hybrid; USD 140,000 - 185,000; Full time

Benefits offered by this job

Remote-friendly work environment

Competitive compensation

Comprehensive health insurance

Generous PTO

Job summary

Supervity is seeking a senior Solutions Architect to be the chief technical authority for our most strategic deployments. You will design the end-to-end blueprint for the customer\'s AI Workforce and guide production-level AI implementations.

This deeply technical role requires hands-on expertise in RAG architectures, multi-agent systems, and MLOps pipelines, while serving as the trusted advisor to customers\' C-level executives and engineering teams to ensure scalable, secure, and

Qualifications

• 7-10 years IT experience with 5+ years in hands-on AI/ML implementation or architecture.
• Deep knowledge of ML, DL, and NLP frameworks (TensorFlow, PyTorch, Hugging Face).
• Proven experience designing and deploying Generative AI solutions, esp. RAG architectures, using LangChain, vector databases, and LLM APIs.

Responsibilities

• Architect Production AI Solutions: design scalable, production-level AI solutions incl. RAG, multi-agent systems, and end-to-end MLOps pipelines.
• Act as the Trusted Technical Advisor: provide best practices on AI Employees, data governance, security, and system integration.
• Lead Technical Strategy in Pre-Sales: collaborate with Sales to scope POCs and design architectures that secure a win.
• Oversee Data & Model Lifecycle: guide data ingestion, transformation, validation, and CI/CD for deployment and monitoring.
• Drive Innovation and Best Practices: document architectures and guidelines to elevate the engineering org.

Skills

AI/ML

Generative AI

Cloud platforms

Python

Tools

LangChain

Pinecone

Weaviate

OpenAI

Gemini

MLflow

Kubeflow

SageMaker

Apache Spark

Kafka

Job description

Solutions Architect

United States | Hybrid

Supervity AI is building a new enterprise operating model where AI Employees run operational workflows through Agentic Applications and Agentic Solutions, supervised by humans through AI Command Centers, replacing labor-centric outsourcing with governed, scalable intelligence. As a pioneer in Agentic AI, we enable Global 2000 enterprises to move from experimentation to real-world adoption, bridging the gap between cutting-edge research and enterprise-grade deployment. We are not just automating tasks; we are building the infrastructure for the future workforce, where secure AI Employees handle the execution so humans can focus on strategy and judgment.

Job Overview

We are looking for a senior Solutions Architect to be the chief technical authority for our most strategic and complex customer deployments. You are the evangelist and the architect who designs the end-to-end blueprint for the customer's "AI Workforce".

This is a deeply technical, hands-on role. You will be responsible for designing and guiding the implementation of production-level AI solutions, including complex RAG architectures, multi-agent systems, and the underlying MLOps pipelines. You will serve as the trusted technical advisor to our customers' C-level executives and their engineering teams, ensuring the solutions we build are scalable, secure, and performant.

Key Responsibilities

• Architect Production AI Solutions: Design and architect scalable, production-level AI solutions for customers using our platform. This includes designing RAG architectures, multi-agent systems, and end-to-end MLOps pipelines.
• Act as the Trusted Technical Advisor: Serve as the senior-most technical expert for strategic customers and internal teams. You will provide best practices on AI Employees implementation, data governance, security, and system integration.
• Lead Technical Strategy in Pre-Sales: Partner with Sales and Solutions Engineering to lead late-stage technical discovery, scope complex proofs-of-concept (POCs), and design the technical architecture that secures the win.
• Oversee Data & Model Lifecycle: Guide the ingestion, transformation, and validation of large datasets for agent training and deployment. Implement CI/CD pipelines for seamless model deployment and monitoring.
• Drive Innovation and Best Practices: Stay on the cutting edge of AI/ML advancements. Create technical documentation, architectural blueprints, and best practice guidelines that elevate the entire engineering organization.

Required Qualifications

• Experience: 7-10 years of overall IT experience, with 5+ years in a hands-on AI/ML implementation or architecture role.
• AI/ML Depth: Deep knowledge of machine learning, deep learning, and NLP frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Generative AI Expertise: Proven experience designing and deploying Generative AI solutions, particularly RAG architectures, using tools like LangChain, vector databases (Pinecone, Weaviate), and LLM APIs (OpenAI, Gemini).
• Cloud Proficiency: Hands-on expertise with AI/ML services on a major cloud platform (AWS, GCP, or Azure), including relevant certifications.
• Programming: Strong, hands-on programming skills in Python.

Preferred Qualifications

• MLOps: Direct experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker) and building CI/CD pipelines for machine learning.
• Big Data: Expertise with large-scale data pipelines and tools (e.g., Apache Spark, Kafka).
• Enterprise Architecture: Strong background in designing secure, scalable solutions that integrate with a variety of cloud and on-premise services.
• Consulting Mindset: Experience mentoring engineers and a proven ability to articulate complex technical concepts to diverse audiences, including non-technical stakeholders.

Benefits

• Competitive compensation packages
• Comprehensive health insurance plans
• Remote-friendly work environment
• Generous Paid Time Off (PTO) and recognized public holidays
• Opportunity to work at the forefront of AI innovation and help shape a new category in the AI ecosystem
• Inclusive, collaborative, and fast-paced work culture
• Remote-friendly work environment

Equal Opportunity Employer

Supervity is proud to be an Equal Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Supervity is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].