Your Role and Responsibilities
As an AWS Senior AI/ML Specialist Solution Architect for Ecosystem Labs, you will
Design and/or delivery of solutions, assets, and content.
Apply methodology and governance around project development.
Document and articulate clear understanding of customer/partner success criteria.
Apply critical thinking, technical knowledge, customer/partner insights to solve problems with industry methodologies, and frameworks.
Collaborate with IBM and AWS specialists to design and build complex enterprise solutions with foundation of Red Hat Open Shift, AWS Infrastructure, and IBM Software technology.
Standardize solutions in accordance with the AWS Well-Architected Framework across all pillars, including operational excellence, security, performance efficiency, cost optimization, and reliability.
Define, lead, and execute architecture design workshops and white-boarding sessions to build implementation plans.
Develop deep relationships with key customers through solution integration to drive long-term IBM and AWS adoption.
Team well with our key IBM & Red Hat business units, and strategic partners to support our partnership.
Consult as a subject matter expert on our IBM/AWS technology and services portfolio.
Author use cases, reference architectures, blog posts, and other field and external content.
Work in sandbox environments to demonstrate IBM Hybrid Cloud Capabilities with AWS.
How we’ll help you grow:
You’ll have access to all the technical and management training courses you need to become the expert you want to be
You’ll learn directly from expert developers in the field; our team leads love to mentor
You have the opportunity to work in many different areas to figure out what really excites you.
Required Technical and Professional Expertise
Bachelor’s degree in business, computer science, computer engineering, or related fields at time of application.
8+ Years: Distributed application and systems architecture design and implementation.
5+ Years: Engineering and/or technology experience (e.g., technology field, Services, Consultant, Specialist Team Unit, Technical Sales, system integrators, developer, project manager, sales), Experience in software development in languages like Java/ Python, Scala. Experience working with RESTful API and general service-oriented architectures, Design/implementation/consulting experience with Enterprise applications
3+ Years: Experience in infrastructure and network architecture, DevOps, or software engineering
4+ Years: Experience developing ML models in real-world environments and integrating AI/ML with container orchestration services into large-scale production applications, AWS Architecture Design Consulting and/or Delivery, Red Hat Open Shift offerings & technical architecture, IBM Hybrid Cloud Software and Capabilities.
We need the candidate to have
Deep understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies
High level of comfort communicating effectively across internal and external organizations
Strong verbal and written communication skills
Demonstrated ability to adapt to new technologies and learn quickly
Professional experience architecting/operating solutions built on AWS
Working knowledge of software development tools and methodologies
Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
Preferred Technical and Professional Expertise
The ideal candidate will have a breadth of knowledge across cloud computing topics and AWS, as well as hands-on expertise in topics from three or more of the technical areas below:
Masters, or Ph.D. in business, computer science, computer engineering, or related fields at time of application.
Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and Torch.
Experience with multiple AWS services related to Data and AI highly desirable. Including Amazon Sagemaker, Amazon EMR, Amazon S3, Amazon Lex, Amazon Comprehend, Amazon Translate, Amazon Transcribe, Amazon Polly, Amazon Forecast, Amazon Athena, Amazon RedShift, IoT, Amazon RDS, Amazon Aurora, Amazon DynamoDB, AWS Glue, Amazon QuickSight, Amazon ElasticSearch, Amazon Kinesis, Amazon MSK, AWS Lake Formation, AWS Lambda, Amazon DynamoDB, Amazon Keyspaces, Amazon Timestream.
Experience with IBM Data and AI products such as Cloud Pak for Data (CP4D) and cartridges highly desirable. Including Watson Studio, Watson Machine Learning, SPSS Modeler, Decision Optimizer, Knowledge Catalog, Watson Assistant, Watson Speech Services, Information Analyzer, DataStage, Data Db2, Netezza, MQ, Hadoop Execution Engine, Informix, Cognos Analytics, Open Data for Industries.
Experience migrating or transforming legacy customer solutions to the cloud
Experience with relational and non-relational data sources including Oracle, MS SQL, DB2, Postgres SQL, Cassandra, MongoDB, AWS DynamoDB, Amazon RedShift, and Amazon Aurora
One or more of the following AWS Certifications: AWS Certified Machine Learning Specialty, AWS Certified Data Analytics Specialty, AWS Certified Database Specialty
One or more IBM Certifications from the following categories: IBM Certified Solution Architect, IBM Certified Associate Architect, IBM Certified Administrator, IBM Data Science Professional Certificate, IBM Certified Database Associate, IBM Certified Database Administrator, IBM Certified Specialist, IBM Certified Data Engineer, IBM Certified Developer, IBM Associate Certified DBA
About Business Unit
IBM, an industry leader in Hybrid Cloud Software and Services is looking for a Senior AI/ML Specialist Solution Architect – AWS to join our World-Wide Strategic Alliances team. This Senior AI/ML Specialist Solution Architect will work with Ecosystem Labs Distinguish Engineers and Specialists within IBM Technology (including IBM Cloud & Cognitive Software & Red Hat) to perform joint development validation and pilots through partnerships between IBM and AWS. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
Your Life @ IBM
Are you craving to learn more? Prepared to solve some of the world’s most unique challenges? And ready to shape the future for millions of people? If so, then it’s time to join us, express your individuality, unleash your curiosity and discover new possibilities.
Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.
It’s time to define your career.
About IBM
IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
Location Statement
When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBM
IBM 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, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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