Synaptics is leading the charge in AI at the Edge, bringing AI closer to end users and transforming how we engage with intelligent connected devices, whether at home, at work, or on the move. As the go-to partner for the world’s most forward-thinking product innovators, Synaptics powers the future with its cutting-edge Synaptics Astra™ AI-Native embedded compute, Veros™ wireless connectivity, and multimodal sensing solutions. We’re making the digital experience smarter, faster, more intuitive, secure, and seamless. From touch, display, and biometrics to AI-driven wireless connectivity, video, vision, audio, speech, and security processing, Synaptics is the force behind the next generation of technology enhancing how we live, work, and play.
Overview
Synaptics is seeking an experienced Staff Technical AI Solutions Specialist responsible for deploying, integrating, and operationalizing enterprise AI platforms including ChatGPT Enterprise, Anthropic Claude, Microsoft 365 Copilot, GitHub Copilot Enterprise, and other emerging AI services. This position reports to the Director, IT Engineering Applications & AI Program Manager and partners closely with business and IT leadership on AI solution selection, feasibility, and enterprise impact.
Responsibilities & Competencies
Job Duties
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Lead the deployment and operationalize enterprise AI platforms including: ChatGPT Enterprise; Anthropic Claude; Microsoft 365 Copilot; GitHub Copilot Enterprise and Oracle AI services and other enterprise AI SaaS tools
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Design secure integration patterns between AI platforms and enterprise systems (ERP, CRM, HRIS, ITSM, knowledge bases, internal portals)
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Develop API-based integrations leveraging OpenAI, Anthropic, and other provider SDKs
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Implement authentication, access controls, and data boundary enforcement for enterprise AI usage
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Configure and optimize enterprise AI tenant settings, usage controls, and monitoring
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Build LLM-powered applications leveraging ChatGPT, Claude, and similar models
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Develop Retrieval-Augmented Generation (RAG) pipelines integrating enterprise knowledge sources
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Implement prompt engineering strategies, structured outputs, and guardrail mechanisms
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Design embeddings workflows and vector search integrations for enterprise knowledge retrieval
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Develop reusable AI service layers to enable AI features across multiple applications
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Develop production-ready AI services using Python and modern backend frameworks
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Containerize and deploy AI services using Docker and cloud-native infrastructure
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Implement monitoring for model performance, usage analytics, and drift detection
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Ensure scalable inference architecture with cost optimization strategies
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Maintain CI/CD pipelines for AI service updates and safe rollouts
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Implement AI controls including: Output moderation and filtering; Logging and audit trails; PII protection and masking; role-based access controls
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Ensure enterprise AI deployments comply with security, privacy, and regulatory requirements
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Embed governance frameworks into technical implementations rather than policy-only documentation
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Work closely with application teams, data engineers, and IT architects to embed AI capabilities into existing systems
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Provide hands-on technical guidance and code reviews to development teams adopting AI
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Translate business requirements into scalable AI-enabled technical solutions
Competencies
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Deep understanding and hands-on experience with enterprise AI architectures, LLM deployment models, and AI solution integration patterns
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Ability to independently assess emerging AI technologies and determine enterprise applicability
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Strong solution architecture literacy across data, APIs, enterprise applications, and AI services
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Strong understanding of LLM APIs, prompt engineering, RAG architectures, and embeddings
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Strong Enterprise integration expertise across APIs, databases, identity systems, and SaaS applications
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Proficiency in Python, REST APIs, containerization (Docker), and cloud deployment models
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Strong understanding of MLOps and AI service lifecycle management
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Secure AI deployment practices and enterprise data governance awareness
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Ability to operate independently at senior IC level with minimal supervision
Qualifications (Requirements)
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Bachelor’s degree (Master’s preferred) in Computer Science, Engineering, Data Science, or related discipline or equivalent
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8+ years of software engineering experience, including 5+ years in AI/ML or enterprise AI solution delivery
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Proven experience deploying and integrating enterprise AI platforms (ChatGPT, Claude, Copilot, etc.)
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Strong software development skills and experience with AI SDKs and APIs and deployment of custom AI applications integrated into enterprise systems. (Python scripting and/or programing)
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Strong understanding of AI lifecycle management, model evaluation concepts, and enterprise integration patterns
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Demonstrated ability to operate independently at senior IC level and influence business stakeholders
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Experience working with global teams and cross-regional vendors
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No travel required
Belief in Diversity
Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.
