Lead the design, development, and deployment of production-grade Generative AI solutions. Drive innovation at the intersection of LLMs, RAG systems, and domain-specific AI agents. Champion AI adoption within the organization.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Title: Generative AI Architect
Location: 100% Remote
Job Type: Contract/Fulltime(Both available)
Job Overview
• We are seeking a visionary and hands-on AI leader to spearhead the design, development, and deployment of production-grade Generative AI solutions across the enterprise. This role will drive innovation at the intersection of LLMs, Retrieval-Augmented Generation (RAG) systems, and domain-specific AI agents to solve complex business problems and deliver measurable impact.
• You will lead cross-functional teams, develop state-of-the-art AI solutions, and champion the adoption of scalable, secure, and reliable AI platforms within the organization.
Key Responsibilities
• Lead the strategy, architecture, and implementation of enterprise-grade Generative AI systems and evaluation frameworks.
• Design and deploy production-ready RAG systems, custom LLM pipelines, and AI agents for enterprise use cases including: Document understanding Automated research, Data extraction and summarization
• Partner with engineering, data, and product teams to translate business needs into AI-driven solutions.
• Drive continuous improvement and innovation in AI capabilities, keeping pace with research and open-source developments.
• Build and mentor high-performing, cross-functional data science and ML teams.
• Collaborate across departments (e.g., Compliance, Risk, Finance) to ensure AI adoption meets enterprise standards and regulatory requirements.
• Define success metrics and monitor system performance to ensure optimal output and business value.
Required Qualifications
• Proven experience building enterprise-wide Generative AI systems (LLMs, RAG pipelines, AI agents).
• 8+ years of experience in data science, machine learning, or AI, with at least 3+ years leading enterprise-grade AI deployments.
• Demonstrated leadership in fast-paced environments such as financial services, fintech, or regulatory technology.
• Deep understanding of NLP, transformers, deep learning frameworks (e.g., PyTorch, TensorFlow), and open-source LLMs (e.g., LLaMA, Mistral, GPT family).
• Experience deploying scalable ML/AI applications using APIs, dashboards, and web services.
• Familiarity with AI evaluation methods, bias detection, and performance metrics.
Thanks
Aatmesh
aatmesh.singh@ampstek.com