Gen AI Solutions Architect

Straive
is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Title: Gen AI Solutions Architect

Location: Newark, NJ

Type: FTE

Roles & Responsibilities

Day-to-day Technical Responsibilities

• Design end-to-end solutions using
  generative AI
  (LLMs such as GPT, VAEs, GANs, diffusion models where appropriate) to solve concrete business problems.
• Architect and implement
  GenAI workloads on Azure
  , including services such as Azure OpenAI, Azure AI Search/vector stores, Azure App Service / Functions / AKS, Storage, and Key Vault.
• Integrate cloud GenAI services (Azure OpenAI, OpenAI API, and other ecosystem models where needed) into secure, production-grade applications and workflows.
• Develop and maintain AI pipelines end-to-end: data ingestion, preprocessing, feature engineering, model training/fine-tuning, evaluation, deployment, and continuous improvement.
• Optimize LLM and generative pipelines for
  latency, scalability, throughput, and cost
  on Azure.
• Implement GenAI patterns such as
  RAG
  , tool-calling/agents, and prompt orchestration, ensuring robust guardrails, safety, and observability.
• Collaborate with cross-functional teams (product, delivery, domain SMEs, data, cloud) to define AI use cases, success metrics, and technical requirements.
• Research the latest advancements in generative AI, LLMs, and deep learning; identify opportunities to bring them into Straive's products, accelerators, and client solutions.
• Drive agile delivery of GenAI products and solutions, supporting sprint planning, technical design reviews, and hands-on implementation where needed.

Stakeholder Interaction & Management

• Partner with sales, solutioning, and