Solution Architect Subcontractor

The Hackett Group; Florida; On-site; USD 120,000 - 150,000; Full time

Job summary

A leading consultation firm is seeking a skilled Solution Architect to oversee AI initiatives, software development, and data solutions. The ideal candidate will have over 7 years of experience in solution architecture, focusing on cloud platforms and AI methodologies. You will be responsible for technical leadership across teams and ensuring the delivery of innovative solutions. This role demands a strategic thinker with excellent communication skills to align technology with business goals. Join us to shape the future of technology within the organization.

Qualifications

• 7+ years of experience in solution architecture, focusing on AI, software development, and data/cloud.
• Deep knowledge of cloud platforms and their services.
• Hands-on expertise in AI/ML frameworks and software development languages.

Responsibilities

• Lead strategy and implementation of AI/ML solutions.
• Oversee software development lifecycle and ensure quality applications.
• Architect and implement cloud-based data platforms.

Skills

Solution architecture experience

AI/ML frameworks

Cloud platforms expertise

Software development skills

Data architecture knowledge

Communication skills

Tools

AWS

Azure

GCP

TensorFlow

PyTorch

Snowflake

Databricks

BigQuery

Kubernetes

Docker

Job description

We are seeking an experienced and visionary Solution Architect to lead and oversee three critical domains within our organization: AI initiatives, Software Development, and Data & Cloud solutions. This role demands a strategic thinker who can align technology capabilities with business objectives, provide technical leadership across teams, and ensure delivery of scalable, innovative, and future-proof solutions.

Key Responsibilities

1. AI Team and Activities
   • Lead the strategy, design, and implementation of AI/ML solutions that solve complex business challenges.
   • Provide technical oversight for AI model development, deployment pipelines, and continuous improvement.
   • Stay updated on AI trends and guide the team in adopting best practices and emerging technologies.
   • Collaborate with stakeholders to identify AI opportunities and prioritize initiatives.
2. Software Development Team and Activities
   • Oversee the end-to-end software development lifecycle, ensuring delivery of robust, high-quality, and scalable applications.
   • Define and enforce software architecture standards, development methodologies, and coding best practices.
   • Foster cross-functional collaboration to ensure alignment between business needs and technical deliverables.
   • Lead the evaluation and integration of new frameworks, tools, and technologies.
3. Data and Cloud Team and Activities
   • Architect and implement scalable cloud-based data platforms to support analytics, AI, and business applications.
   • Ensure the security, scalability, and efficiency of data storage, processing pipelines, and cloud infrastructure.
   • Provide guidance on adopting modern cloud technologies, including serverless computing, containerization, and CI/CD pipelines.
   • Drive data governance practices and ensure regulatory compliance.

Required Qualifications

• Proven experience (7+ years) in solution architecture with a focus on AI, software development, and data/cloud domains.
• Deep understanding of cloud platforms (AWS, Azure, GCP) and their services.
• Hands‑on expertise in AI/ML frameworks (TensorFlow, PyTorch, or similar) and software development languages (Python, Java, JavaScript, etc.).
• Strong knowledge of modern data architectures (e.g., Data Mesh, Data Vault) and tools like Snowflake, Databricks, and BigQuery.
• Experience leading multidisciplinary technical teams and delivering complex projects.
• Exceptional communication skills to bridge technical and non‑technical stakeholders.

Preferred Skills

• Certifications in cloud technologies (AWS Certified Solutions Architect, Azure Solutions Architect Expert, etc.).
• Familiarity with DevOps practices and tools, including Kubernetes and Docker.
• Knowledge of emerging trends in AI, cloud computing, and data engineering.