Continuum Solutions ยท 12 hours ago
Senior AI Architect
Continuum Solutions is an enterprise AI product company focused on making AI adoption practical and low-friction. They are seeking a Senior AI Architect to design, build, and scale complex AI systems that integrate into diverse enterprise environments, collaborating closely with engineering stakeholders and enterprise customers to create measurable business outcomes.
Responsibilities
Design and implement scalable agentic AI architectures deployable across cloud, on-premise, and hybrid environments
Architect multi-model/consensus approaches to improve reliability and reduce hallucinations
Develop frameworks for digital twins and AI 'teams' that augment existing staff capabilities
Build robust data integration pipelines across fragmented enterprise systems and legacy software
Lead technical design sessions to translate business problems into buildable AI solutions
Establish best practices for AI system design, testing, evaluation, and deployment
Mentor engineers and contribute to a strong AI engineering culture
Collaborate with partners and internal stakeholders to accelerate delivery and platform evolution
Enhance platform memory systems (e.g., temporary, short-term, long-term, and feedback memory)
Build and refine enterprise guardrails and governance controls aligned to security requirements
Develop real-time data processing capabilities for operational intelligence use cases
Optimize system performance to deliver proof-of-concepts in weeks (not months)
Partner with enterprise clients to understand technical environments, constraints, and integration needs
Lead technical discovery and POC development for new engagements
Architect solutions that scale from single use cases to broader enterprise adoption
Qualification
Required
Software Architecture experience with 3+ years focused on AI/ML systems
Deep expertise in large language models (LLMs), including prompt engineering, fine-tuning, and orchestration frameworks
Proven track record deploying production AI systems at enterprise scale
Strong experience integrating heterogeneous systems (SQL/NoSQL, APIs, and files such as CSV, JSON, XML, HL7)
Proficiency in Python and modern AI/ML frameworks (PyTorch, TensorFlow, LangChain, or similar)
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Preferred
Experience building agentic AI systems or multi-agent architectures
Exposure to energy, industrial, and/or financial services environments
Familiarity with real-time/streaming architectures
Experience with on-premise deployments and air-gapped environments
Knowledge of enterprise security frameworks and compliance requirements (e.g., SOC 2, HIPAA)