Solution Architect - Generative AI

Helix Tech IT Services; Village of Tarrytown (NY); On-site; USD 165,000 - 200,000; Full time

Job summary

Helix Tech IT Services is looking for a Solution Architect to spearhead the design and implementation of advanced applications using generative AI and automation. This role requires extensive experience and technical leadership to architect secure and scalable solutions that transform business processes, enhance decision-making, and deliver significant value across various applications.

Qualifications

• 10+ years of experience in solution architecture or software engineering.
• Proven expertise in generative AI technologies.
• Hands-on experience with intelligent document processing tools.

Responsibilities

• Design end-to-end technical architectures for applications leveraging generative AI.
• Collaborate with stakeholders to translate business requirements into technical architecture.
• Monitor and optimize automated processes for efficiency and adaptability.

Skills

Problem-solving

Analytical skills

Communication

Education

Certifications in cloud architecture

Tools

TensorFlow

PyTorch

Hugging Face Transformers

UiPath

Job description

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Seeking a Solution Architect to design, develop, and implement cutting-edge solutions leveraging generative AI technology , integration and Digital automation . The ideal candidate will play a pivotal role in architecting scalable, secure, and efficient applications that transform business processes, enhance decision-making, and deliver measurable value. This role requires a good understanding of architecture, AI/ML frameworks, Cloud, and modern automation tools, combined with a passion for solving complex problems.

Key Responsibilities

• Design end-to-end technical architectures for applications utilizing generative AI (e.g., LLMs, GANs), intelligent document processing (e.g., OCR, NLP, data extraction), and workflow automation.
• Define system components, integrations, APIs, and data flows to ensure scalability, performance, and reliability.
• Collaborate with product managers, developers, and stakeholders to translate business requirements into technical architecture.
• Document and present architecture, along with pros & cons to senior IT leadership
• Components of architecture:
• Generative AI:
• Create application architecture to integrate generative AI models (e.g., GPT-based models, diffusion models) into applications., including:
• Foundation Models:Leverage large language models (LLMs) like GPT-4o, LLaMA, Grok, or BERT, and generative adversarial networks (GANs) such as Stable Diffusion or VAE-based systems for text, image, audio, or multimodal generation.
• Frameworks & Libraries:Utilize Hugging Face Transformers, LangChain, and DeepSpeed
• Orchestration & Pipelines:Tools like Apache Airflow, Kubeflow, or MLFlow
• Architect solutions for real-time generative AI use cases (e.g., chatbots, content creation, synthetic data generation) and batch processing.
• Architect solutions for automated document ingestion, classification, data extraction, and validation using IDP technologies (e.g., OCR, NLP, computer vision).
• Ensure seamless integration of IDP systems with existing enterprise platforms (e.g., ERP, CRM).
• Enhance document processing workflows with AI-driven insights and error reduction.
• Automation:
• Develop and implementautomation strategies using tools like RPA (Robotic Process Automation), low-code platforms, or custom scripts to streamline repetitive tasks.
• Integrate automation workflows with AI-driven decision-making systems.
• Monitor and optimize automated processes for efficiency and adaptability.
• Integration:
• Define system components, integrations, APIs, and data flows to ensure scalability, performance, interoperability, and reliability.
• Design and implement the integration technology stack to connect generative AI, IDP, and automation systems with enterprise ecosystems, including:
• Middleware & ESB:Utilize tools like Apache Camel, MuleSoft, or Red Hat Fuse for enterprise service bus (ESB) integration
• API Management:Leverage platforms like Apigee, Kong, or AWS API Gateway for secure and scalable API design and orchestration.
• Messaging Systems:Implement real-time data exchange with Apache Kafka, RabbitMQ, or Azure Service Bus.
• Identity & Access Management:Integrate with OAuth 2.0, OpenID Connect, or SAML via tools like Okta or Keycloak for secure system access.
• Ensure seamless interoperability between cloud, on-premises, and third-party systems.
• Technical Leadership:
• Provide technical guidance to development teams during implementation, ensuring adherence to architectural standards.
• Conduct code reviews, performance tuning, and troubleshooting of complex issues.
• Work closely with cross-functional teams (e.g., data science, DevOps, security) to ensure seamless deployment and operation of solutions.
• Identify opportunities to leverage emerging technologies to improve existing systems.
• Contribute to proofs-of-concept (PoCs) and pilot projects to validate new ideas.
• Compliance & Security:
• Ensure solutions comply with industry standards, data privacy regulations (e.g., GDPR, CCPA), and security best practices.
• Design systems with robust authentication, encryption, and auditability features.

Qualifications

• Experience:
• 10+ years of experience in solution architecture, software engineering, or a related role.
• Proven expertise in designing and deploying applications with generative AI technologies(e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Hands-on experience with intelligent document processingtools (e.g., ABBYY, UiPath Document Understanding).
• Strong background in automation technologies(e.g., UiPath, Python scripting).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and microservices architecture.
• Technical Skills:
• Proficiency in programming languages such as Python, Java, or C#.
• Familiarity with AI/ML frameworks, APIs, and model deployment (e.g., ONNX, Docker, Kubernetes).
• Knowledge of database systems (SQL, NoSQL) and data pipeline tools (e.g., Apache Kafka, Airflow).
• Understanding of DevOps practices, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform).
• Soft Skills:
• Exceptional problem-solving and analytical skills.
• Strong communication skills to articulate complex technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, agile environment.
• Preferred Qualifications:
• Certifications in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect).
• Experience with enterprise-scale deployments in industries like finance, healthcare, lifescience.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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