GenAI Architect
External job listingat Swanktek
Hi all, Hope youre doing well. Currently we are #hiring for below position Interested candidates can share your updated resumes to or DM me Role: GenAI Architect Location:- Columbus, OH;...
Salary
Not provided
Location
Columbus, United States
Employment type
Full time
Workplace
Not provided
GenAI Architect
Columbus, United States
Job description
Hi all,
Hope youre doing well.
Currently we are #hiring for below position
Interested candidates can share your updated resumes to or DM me
Role: GenAI Architect
Location:- Columbus, OH; Cleveland, OH; Kansas City, KS; or Albany, NY. (Hybrid)
10+ Years
Looking for candidates on W2
Required Qualifications
8+ years of 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 amp; 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.
AI Architecture amp; System Design
Ability to design scalable, modular GenAI architectures for production use.
Experience with: 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.
Product Engineering amp; Integration
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. Data amp; Knowledge Engineering
Proficiency in data pipelines,