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Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Ingram Micro has earned Great Place to Work Certification™ for 2022-2023 in the United States! This prestigious recognition reflects our commitment to our people and our culture.

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

This is a field based remote opportunity and can be located anywhere in the US near a major airport with frequent travel that is typically less than 50%.

Your role:

The Cloud Services organization delivers consulting and engineering engagements to clients of Ingram Micro’s Partners, on behalf of or in conjunction with Ingram Micro’s Partners. This team performs both pre-sales and delivery activities associated to those engagements.  In this role, you will initially work with leadership to develop a broader portfolio of AWS AI services and then transition into a role that will be 80% Project Delivery and 20% pre-sales (Scoping, Pricing, Building Statements of Work).   

In this AI/ML Architect role, you are responsible for designing and implementing service delivery solutions and strategies that align with client needs and business objectives. You are crafting service delivery frameworks, identifying the right technologies and methodologies, and ensuring that services are delivered effectively. You will play a pivotal role as an Architect shaping the overall service delivery landscape in your organization and will be known for your technical expertise, strategic thinking, and client-oriented approach, playing a lead role on consulting engagements. You are the face to the customer and provide leadership of the delivery team.

• Service Design or Delivery: Developing and designing service delivery frameworks or delivering complex services, which may include processes, methodologies, and technology solutions to meet the specific requirements of clients. This involves creating detailed as builds documentation and architectural plans that address client needs and challenges.
• Technical Expertise: Leveraging a deep understanding of technology and systems to design solutions that are technically sound and capable of delivering or designing the desired services efficiently and effectively.
• Client Engagement: Collaborating and consulting closely with clients to understand their needs, goals, and constraints, and aligning solutions with these client-specific requirements. Client engagement is essential to ensure that the architectural design or deployment meets client expectations allowing a pre-sales engagement to go from opportunity to sale. 
• Project Leadership: Taking the lead on projects, managing resources, timelines, and budgets, and ensuring the successful execution of service delivery solutions. This involves coordinating efforts across teams and stakeholders.
• Quality Assurance: Implementing and maintaining quality standards and best practices to ensure that service delivery solutions meet high-quality benchmarks. This includes evaluating the performance and effectiveness of service delivery.
• Mentorship and Collaboration: Mentoring and collaborating with junior architects and other team members to share knowledge, best practices, and guidance.
• Innovation and Continuous Improvement: Staying current with industry trends and technological advancements, and actively seeking opportunities to enhance service delivery processes, efficiency, and overall quality.
• Strategic Thinking: Contributing to the strategic direction of service delivery within the organization, including shaping the services strategy and aligning it with business objectives.
• Client Relationship Management: Building and nurturing strong, long-lasting relationships with key clients to ensure their ongoing satisfaction and loyalty.
• Thought Leadership: Providing thought leadership within the organization and, in some cases, the industry, by contributing to the development of standards and industry best practices.

What you bring to the role:

• Four-year college degree or equivalent combination of education and experience in a related technical field required.
• 8 + years of functional experience including a minimum of 5 + years position specific technical architect experience.

• Experience with AI/ML and Data analytics services within AWS is required.
• Experience with both IaaS and Cloud native services within AWS is required.
• 3 – 5 years of experience in project delivery and pre-sales roles with a consultancy.
• 3 – 5 Years of experience with DevOps responsibilities with hands on utilization industry standard tools and workflows.
• 3 – 5 years of experience with developing Infrastructure as code and/or application development responsibilities.
• 3 – 5 years of experience engineering for application and infrastructure solutions.
• 3 – 5 years of experience designing Data Analytics, Data Platform, and Database solutions.

• 3 or more of the following certifications, or similar AWS certifications, with a minimum of one being a preferred certification, with a willingness to train for and obtain additional preferred certifications.

AWS AI Practitioner

AWS Solution Architect Associate

AWS Developer Associate

AWS SysOps Administrator

AWS Data Engineer Associate (Preferred)

AWS Machine Learning Engineering Associate (Preferred)

AWS Machine Learning Specialty (Preferred)

AWS DevOps Engineer Professional (Preferred)

AWS Solutions Architect Professional (Preferred)

• Project Leadership building or delivering complete projects/solutions: Prior experience in leading projects, which involves designing, implementing, and overseeing complex service delivery or design solutions.

• Possess the strongest of skills acquired through advanced training, study, and experience.
• Client Engagement: A history of effectively engaging with clients, understanding their needs, and aligning solutions with client-specific requirements.
• Quality Assurance: Experience in implementing and maintaining quality standards and best practices to ensure high-quality service delivery solutions.
• Mentorship and Collaboration: Experience in mentoring and collaborating with junior architects and cross-functional teams to share knowledge and best practices.
• Strategic Contribution: Previous involvement in shaping the strategic direction of service delivery within the organization, including contributing to architectural strategy and aligning it with business goals.

• Technical and Architectural Knowledge of services solutions: A deep understanding of technology, systems, and concepts relevant to service design or delivery, including best practices and industry standards.
• Client Understanding: In-depth knowledge of client needs, expectations, industry-specific trends, and constraints to tailor or delivery solutions effectively.
• • Quality Assurance Best Practices: Knowledge of quality assurance methodologies and best practices to ensure that service delivery solutions meet high-quality benchmarks.
• Industry Trends: Awareness of industry trends, technological advancements, and emerging practices relevant to service delivery or design.
• Client Relationship Management: Knowledge of client relationship management principles to build and maintain strong client relationships.
• Possesses an extensive understanding of technology, systems, and advanced concepts pertinent to service design or delivery, demonstrating expertise in implementing best practices and adhering to industry standards.
• Demonstrates an in-depth knowledge of client needs, expectations, industry-specific trends, and constraints, enabling the customization and effective delivery of solutions to meet sophisticated client requirements.
• Architectural Design: Proficiency in designing service delivery frameworks, processes, and technology solutions to meet client needs effectively.
• Technical Expertise: Strong technical and architectural skills to design solutions that are technically sound and capable of delivering services efficiently and effectively.
• Problem-Solving Skills: The ability to analyze complex architectural challenges and develop effective solutions.
• Communication and Collaboration: Excellent communication skills for collaborating with clients, colleagues, and cross-functional teams.
• Thought Leadership: The ability to provide thought leadership within the organization and industry, contributing to the development of architectural standards and best practices.
• Project and Program management
• Applies advanced knowledge of quality assurance methodologies and best practices to meticulously ensure that service delivery solutions consistently surpass high-quality benchmarks. • Exhibits a heightened awareness of evolving industry trends, technological advancements, and emerging practices relevant to service delivery or design, enabling the adaptation of strategies to stay at the forefront of the field.
• Applies sophisticated client relationship management principles to proactively build and sustain robust client relationships, demonstrating an ability to navigate complex client dynamics effectively.

Additional experience preferred:

• Analytics: Athena, Elasticsearch service, EMR, Kinesis Data Streams, Kinesis Data firehose, Managed Streaming for Apache Kafka, Redshift, Glue, Lake Formation
• Machine Learning: Sagemaker, Polly, Transcribe, Deep Learning AMI’s, Translate, Comprehend, forecast, Kendra, textract, Lex+
• Application Integration: Step Functions, Event Bridge, SNS, SQS, AppSync, Simple Workflow Service
• Developer Tools: Code build, Code Commit, Code Deploy
• Data Engineering: S3, Glacier, Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, Kinesis Video Streams, Glue ETL, Glue Data Catalog, AWS Data pipelines, AWS Batch, AWS DMS
• Exploratory Data Analysis: Usage and knowledge of Python, Athena, Quick sight, EMR, Data manipulation and transformation
• Modelling: Machine Learning Depp Learning models usage, Usage of Amazon Sagemaker, Polly, Transcribe, Deep Learning AMI’s, Translate, Comprehend, forecast, Kendra, textract, Lex+
• MLOPS Usage of TensorFlow, Pytorch
• Generative AI: Transformers, GPT, self-attentions & foundation models
• AWS Well-Architected Framework, Understanding and usage of Amazon Bedrock, Amazon Code whisperer.
• LLM Selection by Use Cases, Evaluation and Accuracy Metrics
• How to evaluate Accuracy using LLM and how to select LLM to evaluate Accuracy
• Experience in Python, SQL, working knowledge of Java

#LI-JJ

The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate’s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.

This is not a complete listing of the job duties.  It’s a representation of the things you will be doing, and you may not perform all these duties.

Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.

Ingram Micro believes there is no place in our society for social injustice, discrimination, or racism. As a company we do not – and will not – tolerate these actions.

Ingram Micro Inc. is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.