Artificial Intelligence (AI) Solution Architect

Signify Technology; Chicago (IL); Hybrid; USD 185,000 - 215,000; Full time

Benefits offered by this job

Competitive salary with performance-based bonuses

Comprehensive health, dental, and vision insurance

401(k) plan with company match

Paid time off

Professional development opportunities

Flexible hybrid work environment

Job summary

Signify Technology is seeking an Artificial Intelligence (AI) Solution Architect in Chicago, IL. The successful candidate will design, implement, and deploy scalable AI/ML solutions while collaborating with various stakeholders. Required qualifications include a Bachelor's degree and 5+ years of experience in solutions architecture. The position offers a competitive salary between $185,000 and $215,000 plus a 15% bonus, along with comprehensive benefits and a flexible hybrid work environment.

Qualifications

• 5+ years of experience in solutions architecture or related role.
• At least 2 years focused on AI/ML model development.
• Excellent communication skills for diverse audiences.

Responsibilities

• Design and implement scalable AI/ML solutions.
• Collaborate with stakeholders to gather requirements.
• Build and deploy AI/ML models using cloud platforms.

Skills

Python

Java

Scala

TensorFlow

PyTorch

MLFlow

Weights & Biases

Data Science Pipelines

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Master's or Ph.D.

Tools

AWS

Azure

GCP

Job description

Job Title

Artificial Intelligence (AI) Solution Architect

Job Type

Permanent

Salary

$185,000 - $215,000 + 15% bonus

Role Location

Chicago, IL (Hybrid, with flexibility for remote work)

Visa Requirements

US citizenship or permanent residency required; visa sponsorship not available.

The Company

A leading global professional services firm specializing in technology-driven solutions for enterprise clients across industries such as finance, healthcare, and manufacturing. With a commitment to innovation, the company delivers commissioning, validation, and IT services, empowering clients to achieve operational excellence through cutting-edge technologies like AI and machine learning.

Role Responsibilities

• Design and implement scalable AI/ML solutions, including data pipelines, model development, and deployment, to address client business challenges.
• Collaborate with stakeholders to gather requirements, translate business needs into technical architectures, and present solutions to technical and executive audiences.
• Build and deploy AI/ML models using cloud platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch), ensuring alignment with business objectives.
• Lead discovery sessions and workshops to define AI use cases, develop proofs-of-concept (PoCs), and validate technical feasibility.
• Mentor junior architects and engineers, fostering expertise in AI/ML methodologies and ensuring adherence to best practices.
• Monitor emerging AI/ML trends and technologies, integrating innovative approaches into solution designs.
• Ensure solutions comply with industry standards (e.g., SOC2, ISO 27001) and cybersecurity policies, particularly for regulated industries.

Job Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; Master’s or Ph.D. preferred.
• 5+ years of experience in solutions architecture or a related role, with at least 2 years focused on AI/ML model development and deployment.
• Proficiency in programming languages such as Python, Java, or Scala, and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools (e.g., MLFlow, Weights & Biases).
• Hands‑on experience with data science pipelines, including feature engineering, model training, and deployment.
• Excellent communication skills for presenting technical concepts to diverse audiences, including C-level executives.
• Experience in regulated industries (e.g., finance, healthcare) or federal projects is a plus.
• Preferred certifications: AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, or equivalent.

Benefits

• Competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company match.
• Paid time off, including vacation, sick leave, and holidays.
• Professional development opportunities, including training and certification support.
• Flexible hybrid work environment with opportunities for remote work.
• Access to cutting-edge technologies and collaborative projects with global clients.