Summary

About the Company

Blackstraw.ai is an end-to-end technology services company specializing in Artificial Intelligence (AI) and Engineering solutions across Data Science, Data Engineering, LLM/GenAI and LLMOps. Founded in 2018, we help global enterprises across North America, Europe and Asia to build and operationalize AI systems that create measurable business impact. Our mission is to make AI adoption simpler, faster and scalable through a blend of deep domain expertise, reusable accelerators and proven engineering practices.

With a 600+ strong team of engineers, data scientists and AI specialists, we partner with organizations to deliver real-world outcomes in areas such as predictive analytics, computer vision, natural language processing and Generative AI. Headquartered in Florida (USA) with operations in Canada and India, Blackstraw.ai continues to empower global enterprises to unlock the true potential of AI.

Location: USA/ Canada

Type: Full‑time only

Experience: 8 to 16 years

Role Overview

We are looking for a Solutions Architect who can design and deliver enterprise-grade, cloud-native, AI-enabled solutions across modern Java/Angular platforms. This role blends hands-on engineering, architecture leadership, and customer-facing solution delivery, with ownership across application, integration, data, cloud, and AI systems.

You will collaborate closely with product, engineering, and customer teams to architect scalable, secure, and high-performing solutions that combine Java microservices, Angular frontends, ML/AI pipelines, and cloud-native infrastructure.

Core Profile

• Deep technologist with strong expertise in software development, data engineering, AI/ML, and solution architecture
• Proven ability to operate in client-facing, consultative roles
• Balanced mix of:
  • Pre-sales & solutioning
  • Technical leadership
  • Hands-on problem solving

Experience

• 8 to 16 years across Software Engineering, Data Engineering, and Platform Architecture
• Experience in AI/ML or advanced analytics environments
• Strong background in enterprise solutioning and consulting
• Proven experience working with global clients in a services or consulting model

Hands-On Technical Leadership

• Operate at depth when required — architecture reviews, solution design, technical problem-solving
• Step into delivery challenges and help unblock engineering teams
• Mentor architects and engineering teams across global delivery

Qualifications

Software Engineering

• Strong fundamentals in backend engineering, distributed systems, REST APIs, and microservices
• Experience with databases, Git, CI/CD, and modern development practices
• Proficient in Python or Java

AI Engineering

• Hands-on experience building AI-powered applications using:
  • LLMs
  • Agentic AI frameworks
  • Retrieval-Augmented Generation (RAG)
  • Tool calling
  • Prompt engineering
  • AI evaluation techniques
• Experience with Model Context Protocol (MCP) and modern AI orchestration frameworks is highly desirable

Enterprise Integration

• Experience integrating platforms such as SAP, Salesforce, Workday, ServiceNow, SharePoint, Snowflake, Databricks
• Strong understanding of enterprise integration patterns, API-first architectures, OAuth, JWT, SAML
• Proficient with SQL, REST, and GraphQL APIs

Cloud & Platform Engineering

• Experience building and deploying cloud-native applications on Azure, AWS, or Google Cloud Platform
• Hands-on with Docker, Kubernetes, CI/CD pipelines
• Experience with event-driven architectures, messaging platforms, observability, monitoring, and security best practices

Customer & Product Mindset

• Ability to work directly with customers, understand business challenges, and translate them into elegant technical solutions
• Strong communication skills with both technical and business stakeholders
• Comfortable leading architecture discussions and technical workshops
• Ownership mindset — rapid learning, fast prototyping, and converting customer-specific solutions into reusable platform capabilities