Artisan Management LLC

Role Description The Generative AI Engineer designs, builds, and ships production-grade GenAI systems for our clients and our own platforms. You will work at the intersection of large language models, agent architectures, and cloud engineering on AWS, turning ambiguous problems into reliable, secure, and measurable AI solutions. You will partner closely with delivery teams and clients to move ideas from prototype to production. Key Responsibilities - Design and build LLM-powered applications and agentic systems using Amazon Bedrock, including Bedrock AgentCore and Bedrock Agents. - Architect and implement retrieval-augmented generation (RAG) pipelines, including chunking, embeddings, vector search, and reranking. - Develop prompt strategies, tool and function calling, and orchestration using frameworks such as LangChain or LlamaIndex. - Fine-tune and customize foundation models on Amazon SageMaker when business requirements call for it. - Define and implement evaluation, guardrails, and observability so AI systems are measurable, safe, and cost-aware in production. - Deploy and operate GenAI workloads on AWS using infrastructure-as-code, containers, and CI/CD. - Collaborate with delivery teams and clients to scope solutions, run discovery, and translate requirements into working systems. - Mentor engineers on GenAI patterns and contribute to reusable accelerators and internal platforms. Qualifications - 3+ years building software in production, with 1+ year of hands-on work building LLM or generative AI applications (professional, open-source, or substantial personal projects all count). - Strong Python skills for building AI applications, services, and automation. - Practical experience with LLM application development including prompt engineering, RAG architecture, and function/tool calling. - Hands-on experience with Amazon Bedrock; familiarity with agent runtimes such as Bedrock AgentCore or comparable agent frameworks, and with agent-to-tool standards such as the Model Context Protocol (MCP) or equivalent. - Experience with at least one vector store (OpenSearch, pgvector, Pinecone, Weaviate, or similar) and embeddings. - Comfortable working in AWS day to day, including IAM, Lambda, S3, and basic networking concepts. - Experience building and consuming REST APIs and integrating LLMs into existing systems, including authentication, asynchronous patterns, streaming, and error and timeout handling. - Sound judgment about handling sensitive and client data with AI systems, including PII, what may and may not be sent to a model, and basic data governance and compliance. - Able to work directly with clients and delivery teams to scope problems, run working sessions, and set realistic expectations about what generative AI can and cannot do. - Experience with Git-based workflows, containers (Docker), and shipping code through CI/CD. - Understanding of how to evaluate, guardrail, and monitor LLM systems for accuracy, safety, and cost. Extra Credit - Fine-tuning techniques such as LoRA, QLoRA, or PEFT, and model customization on SageMaker. - Machine learning fundamentals, feature engineering, and the model experimentation lifecycle. - Python ML and data libraries such as PyTorch, Hugging Face Transformers, scikit-learn, pandas, and NumPy. - MLOps tooling such as SageMaker Pipelines, Model Registry, or Feature Store. - Responsible AI practices including bias evaluation and explainability (for example, SageMaker Clarify). - Data engineering exposure such as SQL, AWS Glue, Athena, or Spark for preparing data that feeds AI systems. Core Competencies - Action Oriented – Takes on new opportunities and tough challenges with urgency, energy, and enthusiasm. - Tech-Savvy – Anticipates the impact of emerging AI technologies and adapts quickly as the landscape shifts. - Collaborates – Builds partnerships and works effectively with delivery teams and clients to meet shared objectives. - Communicates Effectively – Translates complex technical concepts for both technical and non-technical audiences. - Cultivates Innovation – Creates new and better ways for the organization and its clients to succeed. - Adaptable – Operates effectively in unfamiliar and imperfect client environments, inheriting existing stacks, accounts, and constraints rather than building from a clean slate. - Plans and Aligns – Scopes effort, estimates realistically, and makes sound tradeoffs to deliver on time and within budget on billable client work. Benefits - Flexible working hours and remote work environments. - Robust benefits package including medical, dental, vision, life insurance, disability insurance, and 401k matching. Additional Information Artisan is an equal opportunity employer and does not unlawfully discriminate on the basis of race, color, religion, gender, sexual orientation, sex, gender identity, gender expression, national origin, ancestry, age, medical condition, disability, veteran status, marital status or other prohibited factors under applicable federal, state, and local laws. This position requires constant operation of a computer, various software programs and other electronic productivity tools. This position requires prolonged observation of a computer screen. Additionally, it requires regular participation in virtual meetings and training. Artisan participates in e-Verify to confirm the employment eligibility of all new hires as part of our commitment to a compliant and secure workplace.

Role Description Artisan Studios is at an inflection point. Our AWS co-sell motion is generating large enterprise opportunities, our delivery reputation is strong, and our pipeline of agentic AI work is accelerating. We are looking for a Vice President of Sales to help us grow into what comes next. This is a role for a builder. Working alongside our SVP Head of Sales, you will carry a personal quota, lead a high-performing sales team, and have a real voice in how Artisan goes to market. The infrastructure you put in place will be yours to design, and your perspective on where we invest and which markets we pursue will help shape the company's direction. Artisan Studios has built The Atelier, a proprietary AI orchestration platform that uses coordinated fleets of specialized agents to accelerate how our teams research, scope, and architect solutions. The right candidate will leverage this platform to move faster and engage smarter across the sales cycle. Key Responsibilities - Pipeline Development & AWS Co-Sell - Build and maintain a qualified pipeline of large enterprise services opportunities - Develop deep, trust-based relationships with AWS field sellers - Navigate AWS co-sell programs from direct experience to accelerate deal velocity and unlock partner resources - Identify and pursue large enterprise accounts with complex transformation needs across our core verticals - Deal Execution & Closing - Own complex, multi-stakeholder opportunities from first introduction through signed contract, scoping and pricing custom engagements with average deal sizes of $500K+ - Hold credible, business-level conversations about cloud adoption, modernization, and AI with senior enterprise buyers - Advance deals through a disciplined MEDDICC framework - Team Leadership & Development - Lead a sales team and take ownership of their development and results - Establish the processes, account strategies, and operating rhythms that allow the team to perform - Set the standard through your own production, structure, and accountability - Account Planning & Forecasting - Maintain disciplined pipeline management in Salesforce with accurate, data-grounded forecasting - Develop and execute structured account plans for target opportunities - Collaborate with solutions architects and delivery leadership to ensure engagements are scoped for success - Strategy & Partner Engagement - Contribute to Artisan's go-to-market strategy and repeatable sales assets - Represent Artisan Studios at AWS partner events, industry conferences, and client on-sites - Build trusted advisor relationships with enterprise stakeholders from technical leadership through the C-suite Qualifications - Significant experience carrying a quota selling professional services engagements — consulting, delivery, or transformation (not SaaS, licenses, or staff augmentation) - Proven track record closing complex enterprise deals with average deal sizes of $500K+ in services revenue, involving multiple stakeholders, long sales cycles, and custom scoping - Direct experience working within the AWS partner ecosystem — either at an AWS consulting/services partner or at AWS itself — including a demonstrated history of co-selling with AWS field sellers and generating pipeline through partner channels - Experience leading or developing a team, or a demonstrated ability to raise the standard of those around you - Fluency with MEDDICC as a working sales methodology, not a theoretical concept - Daily Salesforce discipline — pipeline management and forecasting driven by data - Strong business-level understanding of cloud native application development, modernization, and AI sufficient to lead early-stage client conversations - Outstanding verbal and written communication skills Extra Credit - Experience selling into one or more of our core verticals: Retail, Consumer Packaged Goods, Quick Service Restaurants, Foodservice Distribution, or Travel & Hospitality - AWS certifications (Cloud Practitioner, Solutions Architect, or equivalent) - Prior experience navigating ACE pipeline, AWS funding, T2K, and other AWS programs - Experience operating in high-growth environments Core Competencies - Customer Focus: Building strong customer relationships and delivering customer-centric solutions - Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies - Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm - Builds Effective Teams: Developing people and creating a climate where they can perform at their best - Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear - Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives Benefits - Flexible working hours and remote work environments - Robust benefits package including medical, dental, vision, life insurance, disability insurance, and 401k matching

Role Description We are looking for an experienced Senior Sales Executive to drive new business by selling complex professional services engagements through the AWS partner ecosystem. You will build and manage pipeline sourced primarily through AWS co-sell, earning the trust of AWS field sellers and converting introductions into closed enterprise deals. This role sits at the intersection of sales, solution strategy, and partner development. You will work directly with our Head of Sales and cross-functional teams to pursue, win, and expand large services engagements. Success is measured by pipeline generation, bookings, and the strength of the AWS relationships you build and maintain. Artisan Studios has built The Atelier, a proprietary AI orchestration platform that uses coordinated fleets of specialized agents to accelerate how our teams research, scope, and architect solutions. The right candidate will leverage this platform to move faster and engage smarter across the sales cycle. Key Responsibilities - Pipeline Development & AWS Co-Sell: - Build and maintain a qualified pipeline of enterprise services opportunities sourced through AWS co-sell motions. - Develop deep, trust-based relationships with AWS field sellers including Partner Account Executives (PAEs), Partner Solutions Managers (PSMs), and account teams. - Navigate AWS co-sell programs from direct experience to accelerate deal velocity and unlock partner resources. - Identify and pursue large enterprise accounts with complex transformation needs across our core verticals. - Deal Execution & Closing: - Own opportunities from first qualified meeting through signed contract, managing multi-stakeholder sales cycles with average deal sizes of $500K+. - Multi-thread into complex organizations: map stakeholders, build structured pursuit plans, and advance deals through a disciplined MEDDICC framework. - Hold credible business-level conversations about cloud migration, modernization, and AI without requiring a solutions architect in every meeting. - Account Planning & Forecasting: - Maintain disciplined pipeline management in Salesforce with accurate forecasting grounded in data. - Develop and execute structured account plans for target opportunities. - Collaborate with solutions architects and delivery leadership to ensure proposed engagements are scoped for success. - Client & Partner Engagement: - Represent Artisan Studios at AWS partner events, industry conferences, and client on-sites (up to 25% travel). - Build trusted advisor relationships with enterprise stakeholders from technical leadership through the C-suite. - Contribute to Artisan's go-to-market strategy and repeatable sales assets. Qualifications - 5+ years carrying a quota selling professional services engagements — consulting, delivery, or transformation (not SaaS, licenses, or staff augmentation). - Proven track record closing complex enterprise deals with average deal sizes of $500K+ in services revenue. - Direct experience working within the AWS partner ecosystem — either at an AWS consulting/services partner or at AWS itself. - Demonstrated history of co-selling with AWS field sellers and generating pipeline through partner channels. - Fluency with MEDDICC as a working sales methodology, not a theoretical concept. - Daily Salesforce discipline — pipeline management and forecasting driven by data. - Strong business-level understanding of cloud native application development, modernization, and AI sufficient to lead early-stage client conversations. - Outstanding verbal and written communication skills. Extra Credit - Experience selling into one or more of our core verticals: Retail, Consumer Packaged Goods, Quick Service Restaurants, Foodservice Distribution, or Travel & Hospitality. - AWS certifications (Cloud Practitioner, Solutions Architect, or equivalent). - Prior experience navigating ACE pipeline, AWS funding, and other AWS programs. - Experience operating in high-growth environments. Core Competencies - Customer Focus: Building strong customer relationships and delivering customer-centric solutions. - Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. - Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. - Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear. - Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives. Benefits - Flexible working hours and remote work environments. - Robust benefits package including medical, dental, vision, life insurance, disability insurance, and 401k matching.

Role Description We are seeking an experienced Senior Solutions Architect to lead pre-sales technical strategy for prospective and current customers. You will serve as the primary technical voice in client engagements, translating complex business challenges into compelling, cloud-native solutions built on AWS. This role sits at the intersection of sales, engineering, and customer success. You will work directly with our VP of Delivery, Innovation, and Solutions to build credibility, win deals, and ensure a smooth handoff to implementation teams. Success in this role is measured by technical win rates, customer confidence, and the quality of solutions architectured during the sales cycle. Artisan Studios has built The Atelier, a proprietary AI orchestration platform that uses coordinated fleets of specialized agents to accelerate how our teams research, scope, and architect solutions. The right candidate will be fluent in this environment, ready to leverage it from day one, and motivated to make it better. Key Responsibilities - Own the technical win: serve as the lead Solutions Architect on active opportunities from first qualified call through contract. - Design scalable, secure, and cost-effective cloud architectures tailored to client requirements. - Develop solution documentation including architecture diagrams, technical proposals, and Statements of Work. - Build and deliver rapid prototypes or proof-of-concept environments to validate proposed approaches. - Conduct discovery workshops with client stakeholders to surface requirements, constraints, and success criteria. - Present technical recommendations to audiences ranging from developers to C-suite executives. - Build trusted advisor relationships with key client stakeholders throughout the sales cycle. - Respond to RFPs and RFIs with technically accurate, differentiated responses. - Represent Artisan Studios at AWS partner events, industry conferences, and client on-sites (up to 25% travel). - Partner closely with delivery, innovation, and engineering teams to ensure proposed solutions are feasible and implementable. - Contribute to internal knowledge bases, repeatable assets, and reusable solution patterns. - Evaluate emerging AWS services and GenAI capabilities for applicability to client use cases. - Mentor junior architects and contribute to the technical community of practice. Qualifications - 8+ years in solution architecture with a strong focus on AWS technologies. - 5+ years in pre-sales technical roles within professional services or consulting. - AWS Certified Solutions Architect – Professional certification (or Machine Learning). - Hands-on experience with: EC2, S3, VPC, IAM, RDS, DynamoDB, Lambda, ECS, CloudFormation, CloudWatch. - Expert understanding of the AWS Well-Architected Framework. - Experience with containerization technologies (Docker, Kubernetes), serverless architectures, and microservices. - Deep familiarity with Generative AI technologies and large language model architectures. - Strong understanding of network architectures and security best practices. - Familiarity with software development lifecycle (SDLC) methodologies. - Demonstrated ability to develop and present prototypes and proof-of-concept solutions. - Familiarity with DevOps practices and CI/CD pipelines. - Outstanding written, verbal, and visual presentation skills. - Proven ability to influence technical and executive stakeholders. Extra Credit - Bachelor’s degree in Computer Science, Engineering, or a related field. - Experience across multiple cloud platforms (Azure, GCP). - Hands-on experience with AWS AI/ML services, including Bedrock, SageMaker, and Kendra. - Familiarity with AWS agent frameworks and orchestration tooling, including Step Functions and Amazon Q. - Experience designing or deploying RAG architectures and LLM-integrated workflows on AWS. - Additional AWS certifications (Security, DevOps). - Proficiency in Python, Java, or Go (GoLang). - Experience with full-stack development and UX/UI design methodologies. - Prior experience within the AWS Partner Network. - Exposure to two or more of our core verticals: Retail, Consumer Packaged Goods, Quick Service Restaurants, or Travel and Hospitality. - Contributions to open-source projects or technical publications. Core Competencies - Customer Focus: Building strong customer relationships and delivering customer-centric solutions. - Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. - Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm. - Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear. - Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives. Benefits - Flexible working hours and remote work environments. - Robust benefits package including medical, dental, vision, life insurance, disability insurance, and 401k matching.