AWS AI Architect

Slalom•Denver, CO

39d•$110,000 - $187,000•Hybrid

About The Position

As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have a passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking a Client-Facing AWS Solutions Engineer with expertise in Generative AI and Agentic AI technologies to help enterprise clients design, adopt, and scale AI-driven solutions in the AWS cloud. This role will focus on solutioning, consulting, and guiding customers through the adoption of large language models (LLMs), autonomous agents, and AI-powered business applications. As a trusted advisor, you will partner with customer executives, product owners, and technical teams to uncover opportunities, shape solutions, and present recommendations that align with business outcomes. This is an excellent opportunity for a consulting professional with strong AWS AI expertise, pre-sales experience, and business acumen to lead clients on their AI transformation journey.

Requirements

8+ years of experience in consulting, pre-sales engineering, or solution architecture, with a focus on cloud and AI solutions.
Strong expertise in Generative AI and Agentic AI technologies, including large language models, prompt engineering, and agent orchestration.
Proven track record of client-facing consulting experience, including executive-level presentations and proposal development.
Hands-on understanding of AWS AI/ML services such as Amazon Bedrock, SageMaker, Comprehend, and Translate.
Strong knowledge of business case development, with the ability to articulate ROI and value from AI solutions.
Familiarity with cloud security and compliance in AI deployments, including responsible AI practices and data privacy requirements.
Excellent communication and storytelling skills, with the ability to bridge technical solutions to business impact.
Experience collaborating with sales and business development teams to influence customer adoption.

Nice To Haves

AWS certifications such as AWS Certified Solutions Architect - Professional or AWS Certified Machine Learning - Specialty.
Consulting firm experience (Big 4, global SI, or boutique cloud/AI consultancy).
Familiarity with multi-cloud AI offerings (Azure OpenAI, Google Vertex AI).
Knowledge of open-source frameworks like LangChain, Hugging Face, or LlamaIndex.
Background in solution selling and account strategy, with experience in co-selling with cloud providers (AWS, Microsoft, Google).

Responsibilities

Act as a trusted advisor to enterprise clients, helping define AI adoption strategies, roadmaps, and solution architectures.
Lead client workshops, discovery sessions, and executive briefings to align Generative AI and Agentic AI use cases with business value.
Develop solution proposals, RFP responses, and presentations, translating complex technical concepts into business-oriented outcomes.
Design high-level architectures for AI-powered applications using Amazon Bedrock, SageMaker, Lambda, API Gateway, and other AWS services.
Demonstrate AI-powered prototypes and proofs of concept (e.g., intelligent assistants, autonomous agents, enterprise knowledge bots).
Collaborate with sales, account teams, and partners to drive adoption and expansion of AWS AI solutions across enterprise accounts.
Provide strategic guidance on AI governance, responsible AI practices, and compliance, ensuring ethical and secure deployment of Generative AI.
Work closely with delivery teams to ensure solution designs translate into successful implementations.
Stay current with emerging AI trends, AWS service innovations, and competitor offerings to provide thought leadership to clients.