Hadiamondstar Software Solutions LLC
AI/ML Architect
Location:
Plano, TX OR Reston, VA - Hybrid, 3 days onsite
Job Description As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the Cloud and Data Enterprise Portfolios. You must have a deep understanding of technical architecture and have implemented AI/ML solutions in a cloud environment. Knowledge of industry best practices around enterprise AI/ML adoption, security, architectures, and patterns is required. Experience with microservices architectures and cloud migration for data is a plus. Technical experience with multi‑cloud environments (AWS, Azure, GCP) is a plus. Strong interpersonal communication skills are required.
The impact you will make:
Flexibility to shape your day while working alongside people who care to deliver the following responsibilities.
Position yourself as a trusted advisor to business teams and partner with them to understand their requirements for cloud implementations.
Provide recommendations to clients regarding AI/ML implementations and prepare technical implementation roadmaps for adoption.
Create application architecture, data architecture, deployment architectures, functional design specifications, and assist with other project deliverables as needed.
Design state-of-the-art AI/ML solutions that address customers’ requirements for function, scalability, reliability, security, and performance.
Collaborate with other project teams and functional stakeholders such as Information Security, Compliance, Controls, etc., on architectural solutions.
Qualifications Should have a bachelor’s degree in Computer Science or related field. Master’s degree is preferred or equivalent.
Desired Experience
10+ years of progressive hands‑on experience in application development with 5-6 years of solution architecture, systems architecture, engineering, analysis and applications programming in AI related disciplines. Technical team leadership role is preferred.
A minimum of 5 years of experience with a cloud provider (AWS or Azure).
Experience with Architecture principles and TOGAF framework is a plus.
AI/ML relevant AWS Professional Certification is preferred.
Required Skills Proven track record of implementing machine learning solutions, AI services, and statistical analysis projects in production.
Technical leadership with analytical, problem‑solving and communication skills.
Familiarity with cloud AI/ML platform offerings and features.
Understanding of AI services for speech, vision and text.
Background in machine learning algorithms.
Expertise in MLOps and data‑ops lifecycles and engineering implementation in enterprise.
Ability to code in Python, Spark or R.
Strong written and verbal communication, including copywriting, planning and distributing communication.
Skill in creating visual concepts, content, and editing content by hand or with software.
Collaborating respectfully with people of different functional expertise toward common goals.
Effective influencing, negotiating, persuading, facilitating meetings and resolving conflict.
Presenting information or ideas to an audience in an engaging and easy‑to‑understand manner.
Experience identifying and selecting strategic options and resources to meet defined objectives.
Relationship management, stakeholder engagement, customer and vendor relationship building.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology
Industries Software Development
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Plano, TX OR Reston, VA - Hybrid, 3 days onsite
Job Description As an Applied AI/ML Architect, you will be responsible for leading architectural decisions for the Cloud and Data Enterprise Portfolios. You must have a deep understanding of technical architecture and have implemented AI/ML solutions in a cloud environment. Knowledge of industry best practices around enterprise AI/ML adoption, security, architectures, and patterns is required. Experience with microservices architectures and cloud migration for data is a plus. Technical experience with multi‑cloud environments (AWS, Azure, GCP) is a plus. Strong interpersonal communication skills are required.
The impact you will make:
Flexibility to shape your day while working alongside people who care to deliver the following responsibilities.
Position yourself as a trusted advisor to business teams and partner with them to understand their requirements for cloud implementations.
Provide recommendations to clients regarding AI/ML implementations and prepare technical implementation roadmaps for adoption.
Create application architecture, data architecture, deployment architectures, functional design specifications, and assist with other project deliverables as needed.
Design state-of-the-art AI/ML solutions that address customers’ requirements for function, scalability, reliability, security, and performance.
Collaborate with other project teams and functional stakeholders such as Information Security, Compliance, Controls, etc., on architectural solutions.
Qualifications Should have a bachelor’s degree in Computer Science or related field. Master’s degree is preferred or equivalent.
Desired Experience
10+ years of progressive hands‑on experience in application development with 5-6 years of solution architecture, systems architecture, engineering, analysis and applications programming in AI related disciplines. Technical team leadership role is preferred.
A minimum of 5 years of experience with a cloud provider (AWS or Azure).
Experience with Architecture principles and TOGAF framework is a plus.
AI/ML relevant AWS Professional Certification is preferred.
Required Skills Proven track record of implementing machine learning solutions, AI services, and statistical analysis projects in production.
Technical leadership with analytical, problem‑solving and communication skills.
Familiarity with cloud AI/ML platform offerings and features.
Understanding of AI services for speech, vision and text.
Background in machine learning algorithms.
Expertise in MLOps and data‑ops lifecycles and engineering implementation in enterprise.
Ability to code in Python, Spark or R.
Strong written and verbal communication, including copywriting, planning and distributing communication.
Skill in creating visual concepts, content, and editing content by hand or with software.
Collaborating respectfully with people of different functional expertise toward common goals.
Effective influencing, negotiating, persuading, facilitating meetings and resolving conflict.
Presenting information or ideas to an audience in an engaging and easy‑to‑understand manner.
Experience identifying and selecting strategic options and resources to meet defined objectives.
Relationship management, stakeholder engagement, customer and vendor relationship building.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology
Industries Software Development
#J-18808-Ljbffr