Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Principal Data Cloud Architect - SI Partners We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners. As a Principal Data Cloud Architect - SI Partners, you will perform: - Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration): - Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs. - Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience. - Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge. - SI Partner Snowflake Practice Building (Focus on Production Readiness): - COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments, leveraging your SI center of excellence experience. - Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge, informed by your SI skill development experience. - Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation, drawing on your SI presentation and communication experience. - Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions): - Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market, based on your SI solution development experience. - Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides, drawing on your SI asset creation experience. - Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins, informed by your SI customer journey analysis experience. - AI/ML Focused work with SI partners (Hands-On Expertise): - Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application. - Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization. - Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results. - Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions. By sharing expertise and providing hands-on guidance, the Principal Data Cloud Architect will empower the junior team members to effectively support SI partners in deploying successful AI/ML solutions on the Snowflake AI Data Cloud. - Our ideal Principal Data Cloud Architect - SI Partners will have: - REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments. - PLUS: Knowledge of competitive AI/ML platforms and solutions. - Extensive experience with cloud data platforms, preferably Snowflake. - Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow. - Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc. - Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build - Experience with developing AI/ML use cases including communicating AI/ML strategy and business value - Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. - Experience in developing and deploying Machine Learning models through the full Data Science life cycle. - Expertise in data science programming languages including Python, SQL, Scala, and/or Spark. - Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP - Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems. - 10+ years industry experience designing, building and supporting large-scale systems with a minimum of 5 years in a pre-sales role. - BS/MS/PhD in Computer Science or related majors. - This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners. If you are ready to make a significant impact and drive rapid AI/ML implementation, and possess the required experience at a large System Integrator, we encourage you to apply. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

• Core AI Platform Strategy: Define and execute the roadmap for Sayari’s AI infrastructure. You will own the requirements for the orchestration layers, prompt management systems, and the underlying platform architecture that powers our generative intelligence. • Model Lifecycle & SLM Ownership: Lead the strategy for model selection, fine-tuning, and deployment. This includes evaluating the trade-offs between frontier models and domain-specific Small Language Models (SLMs) to optimize for performance, cost-to-serve, and user latency. • Automated Evaluation & Trust: Establish the "ground truth" for Sayari AI. You will define and build rigorous evaluation frameworks, benchmarking non-deterministic outputs to ensure accuracy, provenance, and adherence to "system of work" reliability standards. • Intelligence Orchestration: Define how our systems reason and interact. This includes owning the product requirements for agentic workflows, Model Context Protocols (MCPs), and "self-repairing" systems that maintain data integrity and model reliability at scale. • Collaborative AI Delivery: Partner deeply with "Front-end" Application PMs to ensure backend capabilities translate into seamless user experiences. While responsibilities are delineated between platform and application, you are expected to "lean in" across the stack to ensure business outcomes are met. • Investment & Outcome Strategy: Author the business cases and define business outcomes for significant technical shifts in our AI stack. You will articulate how foundational backend improvements directly translate to superior product outcomes, market dominance, and reduced operational overhead. • Tradecraft Codification & Expert AI: Lead the effort to translate complex analyst tradecraft and investigative methodologies into automated "Skills" and agentic reasoning. You will ensure that the platform's AI outputs reflect the judgment, precision, and trust required for high-stakes economic security and risk intelligence. • Cultural Architect: You will act as a Cultural Architect for AI, evangelizing a 'Quality-First' mindset across the company and ensuring that our transition to an AI-native product suite is grounded in human-centric design and ethical accountability.

Responsibilities Peraton is currently seeking to hire an experienced Generative AI Specialist. Location: Remote Clearance Required: Active Secret Clearance with TS/SCI Eligibility Role: - The Generative AI Specialist will serve as a key technical contributor on Internal Research and Development (IRAD) initiatives focused on AI/ML-driven platforms for Operations in the Information Environment (OIE). - This role requires deep expertise in large language models (LLMs), prompt engineering, agentic AI workflows, and generative AI application development to deliver innovative solutions supporting Combatant Command (COCOM) information operations across CENTCOM, NORTHCOM, INDOPACOM, AFRICOM, and EUCOM. - This is a high-visibility role with direct impact on Peraton's competitive positioning in the defense AI market. Responsibilities - you will: - Design, develop, and optimize generative AI solutions leveraging GPT-4, Claude, Gemini, and Azure OpenAI Service, including advanced prompt engineering, fine-tuning strategies, and retrieval-augmented generation (RAG) implementations. - Implement agentic LLM architectures with structured output schemas (JSON/GeoJSON), chain-of-thought/chain-of-debate methodologies, and multi-agent orchestration to generate reliable, mission-relevant outputs. - Develop and maintain prompt libraries, evaluation frameworks, and quality assurance pipelines to ensure consistent, accurate, and secure AI-generated content for defense applications. - Build and integrate generative AI capabilities into existing platforms, ensuring seamless interoperability with DoW systems including Maven, C2IE, and IRIS through well-documented APIs. - Conduct research and experimentation on emerging generative AI techniques including multimodal models, synthetic data generation, and AI-assisted analysis for information operations. - Collaborate with cross-functional teams to translate COCOM operational requirements into generative AI solutions, supporting tabletop exercises (TTX) and platform demonstrations. - Implement responsible AI practices including bias detection, output validation, hallucination mitigation, and human-in-the-loop (HITL) review workflows for mission-critical applications. - Support quarterly milestone delivery aligned with MVP development approach, contributing to TRL progression and measurable ROI metrics. - Document novel prompting techniques, model configurations, and AI workflows that may constitute intellectual property (IP) or trade secrets. Qualifications Minimum Qualifications: LU - Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or related technical field and 5 years of related experience. Additional 4 years of equivalent professional experience will be considered in lieu of the degree requirement. - Minimum of 3 years of experience in software development or data science, with at least 2 years focused specifically on generative AI, LLM applications, or natural language processing (NLP). - Demonstrated hands-on expertise with foundation models (GPT-4, Claude, Gemini, Llama, Mistral) including prompt engineering, few-shot learning, fine-tuning, and API integration. - Strong proficiency in Python with experience in LLM frameworks and libraries (LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API, Anthropic API). - Experience implementing retrieval-augmented generation (RAG) systems including vector databases (Pinecone, Weaviate, ChromaDB, pgvector), embedding models, and semantic search. - Familiarity with cloud platforms (AWS, Microsoft Azure) and experience deploying AI/ML models in production environments, including Azure OpenAI Service. - Understanding of AI safety, responsible AI principles, and techniques for mitigating hallucinations, bias, and prompt injection vulnerabilities. - Experience with version control (Git), CI/CD pipelines, and collaborative development practices in DevSecOps environments. - U.S citizenship required. - Ability to obtain a Secret security clearance. - Ability to obtain a final TS/SCI security clearance. - Valid U.S. passport required for potential OCONUS travel to customer sites. Preferred Qualifications: - Master's degree preferred. - Experience with agentic AI architectures, multi-agent systems, autonomous AI workflows, and tool-use capabilities in LLM applications. - Hands-on experience with model fine-tuning, RLHF (Reinforcement Learning from Human Feedback), DPO, or parameter-efficient fine-tuning methods (LoRA, QLoRA). - Familiarity with multimodal AI models (vision-language models, image generation, audio/video processing) and their application to defense use cases. - Experience with IRIS platform, OMEGA systems, or similar defense/intelligence operational platforms. - Background in information operations, PSYOP, influence analysis, or supporting Combatant Commands (COCOMs) in technical capacity. - Knowledge of MLOps practices including model monitoring, A/B testing, performance optimization, and LLM evaluation frameworks (RAGAS, DeepEval). - Experience with synthetic data generation, simulation environments, or Monte Carlo methods for outcome prediction. - Understanding of geospatial data formats (GeoJSON, KML) and visualization libraries (Plotly, D3.js) for operational applications. - Strong communication skills with ability to explain complex AI concepts to non-technical stakeholders and support customer demonstrations. - Relevant certifications such as AWS Machine Learning Specialty, Azure AI Engineer, Google Cloud Professional ML Engineer, or DeepLearning.AI certifications. Key Technologies & Platforms: GPT-4, Claude, Gemini, Azure OpenAI Service, LangChain, LlamaIndex, Hugging Face Transformers, Python, Pinecone, ChromaDB, Weaviate, pgvector, AWS, Microsoft Azure, Docker, Kubernetes, REST APIs, GeoJSON, JSON Schema, Plotly, D3.js, IRIS Platform, Maven, C2IE, OMEGA, FedRAMP IL2-4 Peraton Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Team Overview: Insights is redefining how the world understands what’s happening on Earth. We are an AI-native, agentic intelligence platform built from the ground up to operate at planetary scale – transforming vast streams of geospatial data into predictive signals that matter. Powered by cutting-edge Google Cloud infrastructure, frontier Gen AI models, and collaboration with Google Research on next-generation Earth AI, we are pushing the boundaries of how AI can help enterprise see, reason about, and act on. Our mission is clear: deliver decision superiority in moments that matter. From national security to global enterprise operations, our platform provides contextual spatial awareness and anticipatory threat detection for customers operating in high-stakes environments. This is not incremental AI – this is intelligence engineered for global impact. Responsibilities - Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights. - Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK, LangChain, LangGraph) to enable autonomous reasoning, planning, and execution. - Integrate state-of-the-art Large Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making. - Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time. - Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics - Ensure secure, scalable integrations across cloud and enterprise environments. - Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness. - Deploy and operate AI systems in production using modern DevOps practices (containerization, orchestration, CI/CD). - Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as force multipliers for software design, implementation, testing, and documentation. - Contribute to shared engineering standards, documentation, and best practices for AI-first development. Minimum Qualifications - Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field. Advanced degrees are preferred but not required. - Must be a U.S. Citizen - 2+ years of proven experience in a relevant technology domain, with preference for Software engineer and AI/ML - ‘Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWS or GCP) - Significant software development experience with Python, JavaScript, or similar Preferred Skills - Familiarity with vector databases, embeddings, and retrieval-augmented generation(RAG) architectures. - Knowledge of distributed systems design and high-availability architectures supporting global-scale workloads. - Leverages AI for team velocity and upskilling, including using AI-assisted development heavily, prototyping quickly, automating repetitive engineering tasks and moving faster than traditional SWE teams. - Excellent communication and interpersonal skills - Ability to work independently and collaboratively with remote and/or geographically distributed teams - Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within Colorado is: $102,000.00 - $170,000.00 annually.● The base pay for this position within New Jersey is: $102,000.00 - $170,000.00 annually.● The base pay for this position within Delaware is: $102,000.00 - $170,000.00 annually. ● The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.● The base pay for this position within California is: $117,000.00 - $171,600.00 annually.For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.