Gen AI Architect

Themesoft Inc.; Columbus (OH); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Themesoft Inc. is seeking a GenAI Architect to design, guide, and implement enterprise-grade Generative AI solutions embedded within product platforms.

This role bridges AI research, engineering, and product development, ensuring GenAI capabilities are scalable, secure, and aligned with business objectives. You will own end-to-end architecture, lead integration efforts, and set standards for prompts, agents, and inference layers while enforcing security, compliance, and responsible AI practices

Qualifications

• Experience in software architecture, ML engineering, or platform engineering.
• 2+ years hands-on with AI/ML systems including Generative AI.
• Strong software engineering background (Python, Java, or similar).
• Experience with enterprise AI governance or regulated industries.
• Familiarity with open-source AI ecosystems.
• Background in data platforms or analytics engineering.

Responsabilités

• Design and own the end-to-end architecture for GenAI-powered product features.
• Guide engineering teams on best practices for GenAI development and integration.
• Establish standards and patterns for prompts, agents, and inference layers.
• Ensure security, compliance, and responsible AI principles are built into every solution.

Connaissances

GenAI architecture

ML engineering

Python/Java

Enterprise AI governance

Data platforms

Open-source AI ecosystems

Outils

GPT-family models

LLaMA-style models

Prompt engineering

Kubernetes

Description du poste

Location: Columbus, OH/ Cleveland, OH/Kansas City, KS/ Buffalo, NY or Albany, NY

Job Description

The GenAI Architect is responsible for designing, guiding, and implementing enterprise-grade Generative AI solutions embedded within product platforms. This role bridges AI research, engineering, and product development, ensuring GenAI capabilities are scalable, secure, and aligned with business objectives.

Key Responsibilities

• Design and own the end-to-end architecture for GenAI-powered product features.
• Guide engineering teams on best practices for GenAI development and integration.
• Establish standards and patterns for prompts, agents, and inference layers.
• Ensure security, compliance, and responsible AI principles are built into every solution.

Required Qualifications

• Experience in software architecture, ML engineering, or platform engineering.
• 2+ years of hands-on experience with AI/ML systems, including Generative AI.
• Strong software engineering background (Python, Java, or similar).
• Prior work with enterprise AI governance or regulated industries.
• Familiarity with open-source AI ecosystems.
• Background in data platforms or analytics engineering.

Core Generative AI & ML Expertise

• Strong understanding of Generative AI models (LLMs, multimodal models, embeddings).
• Hands-on experience with foundation models (e.g., GPT-style, Claude-style, LLaMA-style) and model adaptation techniques.
• Expertise in prompt engineering, prompt orchestration, and agent-based frameworks.
• Solid grounding in machine learning fundamentals, including supervised/unsupervised learning, evaluation metrics, and inference optimization.
• Ability to design scalable, modular GenAI architectures for production use.
• RAG (Retrieval-Augmented Generation) architectures
• Vector databases (semantic search, embeddings indexing)
• Multi-agent systems and workflow orchestration
• Strong understanding of low-latency inference, model routing, and fallback strategies.
• Knowledge of event-driven, microservices, and API-first architectures.
• Experience integrating GenAI capabilities into customer-facing and internal products.
• Ability to translate product requirements into AI-driven capabilities and technical designs.
• Familiarity with A/B testing, feature flags, and iterative product releases involving AI.
• Proficiency in data pipelines, feature engineering, and unstructured data processing.
• Knowledge graphs
• Metadata-driven architectures
• Document ingestion and chunking strategies
• Strong understanding of data quality, provenance, and governance for AI systems.

Cloud, MLOps & Platform Skills

• Strong experience in cloud-native environments (GCP).
• Familiarity with MLOps practices, including:
• Monitoring, logging, and drift detection
• Experience with containerization, Kubernetes, and CI/CD pipelines.
• Knowledge of inference optimization and cost-control strategies.

Security, Privacy & Responsible AI

• Understanding of AI security risks (prompt injection, data leakage, model abuse).
• Experience implementing guardrails, content filters, and policy enforcement.
• Knowledge of responsible AI practices, including explainability, bias mitigation, and compliance.
• Familiarity with data privacy regulations (e.g., GDPR, enterprise governance standards).

Work Authorization

Applicants must be legally authorized to work in the United States.

Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.