Slalom
Overview
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 focuses on solutioning, consulting, and guiding customers through the adoption of large language models (LLMs), autonomous agents, and AI-powered business applications. The candidate 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. What You’ll Do
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. What You’ll Bring
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 Have
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). About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. We collaborate with clients across 52 offices in 12 countries to deliver powerful customer experiences, innovative ways of working, and new products and services. We are trusted by leaders across the Global 1000, many enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. We believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation And Benefits
Slalom invests in benefits that support work and life, including meaningful time off and paid holidays, parental leave, 401(k) with a match, subsidized health, dental, and vision coverage, adoption and fertility assistance, short/long-term disability, and a yearly $350 reimbursement for well-being expenses. The salary range for this role varies by seniority and location, with discretionary bonus potential. Actual compensation depends on skills, experience, qualifications, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer and is committed to attracting, developing and retaining qualified talent. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by law. Reasonable accommodations are available during all aspects of the selection process; please advise the talent acquisition team if accommodations are required. Seniority level: Mid-Senior level Employment type: Full-time
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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 focuses on solutioning, consulting, and guiding customers through the adoption of large language models (LLMs), autonomous agents, and AI-powered business applications. The candidate 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. What You’ll Do
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. What You’ll Bring
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 Have
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). About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. We collaborate with clients across 52 offices in 12 countries to deliver powerful customer experiences, innovative ways of working, and new products and services. We are trusted by leaders across the Global 1000, many enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. We believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation And Benefits
Slalom invests in benefits that support work and life, including meaningful time off and paid holidays, parental leave, 401(k) with a match, subsidized health, dental, and vision coverage, adoption and fertility assistance, short/long-term disability, and a yearly $350 reimbursement for well-being expenses. The salary range for this role varies by seniority and location, with discretionary bonus potential. Actual compensation depends on skills, experience, qualifications, location, and other factors. EEO and Accommodations
Slalom is an equal opportunity employer and is committed to attracting, developing and retaining qualified talent. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by law. Reasonable accommodations are available during all aspects of the selection process; please advise the talent acquisition team if accommodations are required. Seniority level: Mid-Senior level Employment type: Full-time
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