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Sr. Solutions Architect, AI
Job in
Barre, Worcester County, Massachusetts, 01005, USA
Listed on 2025-12-20
Listing for:
Trend Micro
Full Time
position Listed on 2025-12-20
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Systems Engineer, Cybersecurity
Job Description & How to Apply Below
Overview
Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information across enterprises, governments, and consumers. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend harnesses AI to protect organizations and individuals across clouds, networks, devices, and endpoints.
LocationRemote, Texas
Position SummarySenior Solutions Architect, AI: passionately architect scalable, responsible AI solutions for enterprise customers, driving integration of LLMs, automation, and security across cloud platforms.
Responsibilities- Serve as the primary AI architecture advisor and trusted technical partner for enterprise customers, guiding them through responsible AI adoption, LLM integration, automation, and security design.
- Develop deep understanding of customers’ AI strategies, use cases and risk profiles to align platform capabilities with measurable business, productivity and security outcomes.
- Lead high‑impact technical conversations—including architecture deep dives, demos, whiteboard sessions and LLM strategy workshops—for technical and executive stakeholders.
- Architect secure, scalable AI solutions leveraging cloud‑native infrastructure (AWS, Azure, GCP), enterprise data frameworks, identity and access controls, and Zero Trust principles.
- Design reference architectures for AI‑assisted security, generative‑AI automation, cloud threat analytics and AI‑enabled SOC or platform operations.
- Collaborate with Product and Engineering teams to map customer requirements into platform capabilities, informing feature prioritization, road‑maps, beta design and partner integrations.
- Represent Trend Micro as an AI thought leader in field engagements, industry forums, webinars, partner events and executive briefings.
- Build scalable enablement content—reference patterns, technical diagrams, demos, workshop materials and best‑practice guides—for internal teams, partners and customers.
- Lead or support Proof of Value and Proof of Concept initiatives, ensuring clear success criteria and quantifiable business and technical validation.
- Provide structured feedback to Product Management on customer challenges, AI trends and competitive gaps to evolve the platform, GTM strategy and partner ecosystem.
- Maintain deep knowledge of AI, LLMOps, cloud‑native platforms, security architecture and emerging innovations to continuously elevate the team’s technical leadership.>
- Travel within the U.S. for customer engagements, strategic initiatives and industry events.
- 5+ years in Solutions Architect, AI Architect, Cloud Architect, Sales/Pre‑Sales Engineer or advanced technical consulting roles.
- Bachelor’s degree or equivalent experience in computer science, AI/ML, cybersecurity, cloud engineering or related fields.
- Proven experience engaging technical decision makers and executives across enterprise environments.
- Expertise in public cloud architectures (AWS, Azure, GCP) including identity, networking, compute and data services.
- Strong understanding of applied AI/LLM architectures, model serving & orchestration, prompt engineering & retrieval techniques, data governance and security.
- Broad technical acumen across cybersecurity, cloud, Dev Ops, networking, automation and enterprise modernization.
- Demonstrated ability to rapidly learn new technologies in a fast‑evolving AI and security ecosystem.
- Excellent communication and storytelling skills, capable of translating complex architecture into compelling customer value.
- Proven passion for education, technical demos, enablement and helping others unlock capability at scale.
- Experience working in fast‑paced SaaS, cloud, or cybersecurity companies or startup environments.
- Familiarity with AI infrastructure technologies such as LLMOps frameworks (Lang Chain, Llama Index, Haystack), vector databases (Pinecone, Milvus, Chroma) and model serving (Sage Maker, Vertex AI, Azure AI).
- Hands‑on experience with automation, APIs, scripting or lightweight coding (Python, Type Script, Bash, Power Shell).
- Experience conducting AI discovery workshops, maturity assessments or strategic modernization programs.
- Backgroun…
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