We are currently seeking a Solution Architect (Java, Cloud & AI) -Hybrid to join our team in Dallas, Texas (US-TX), United States (US).
Day to Day Job Duties:
- Design end-to-end architecture for scalable, secure, resilient enterprise applications using Java, Spring Boot, microservices, APIs, and event-driven patterns.
- Lead cloud-native application modernization and migration initiatives across AWS, Microsoft Azure, or Google Cloud, including containerization and platform transformation.
- Define solution blueprints, integration patterns, data flows, non-functional requirements, and architecture standards aligned with enterprise technology and security guidelines.
- Architect and integrate AI-enabled capabilities such as generative AI, intelligent agents, retrieval-augmented generation, prompt workflows, and enterprise knowledge assistants.
- Evaluate and select appropriate cloud services, AI models, frameworks, vector databases, and integrate technologies based on scalability, latency, security, cost, and business requirements.
- Collaborate with product owners, business stakeholders, enterprise architects, developers, data teams, DevOps, infrastructure, and cybersecurity teams throughout the delivery lifecycle.
- Provide technical leadership to engineering teams through design reviews, code reviews, proof-of-concept development, troubleshooting, performance optimization, and mentoring.
- Ensure solutions incorporate security, privacy, responsible AI, observability, high availability, disaster recovery, and regulatory compliance requirements.
- Define CI/CD, infrastructure-as-code, deployment, monitoring, logging, and production support approaches for cloud-based Java and AI applications.
- Support technical estimations, proposal development, architecture presentations, vendor evaluations, risk identification, and delivery planning.
Basic Qualifications:
- Minimum 12+ years of experience in software engineering, application architecture, or solution architecture, including at least 5+ years designing enterprise-scale solutions.
- Minimum 8+ years of hands-on experience with Java, Spring Boot, REST APIs, microservices, distributed systems, and enterprise integration patterns.
- Minimum 4+ years of experience designing and delivering solutions on AWS, Microsoft Azure, or Google Cloud using cloud-native services.
- Minimum 3+ years of experience with Docker, Kubernetes or OpenShift, CI/CD pipelines, infrastructure-as-code, and DevOps practices.
- Minimum 2+ years of experience designing or integrating AI solutions using large language models, generative AI, AI agents, RAG, embeddings, prompt engineering, or vector databases.
- Strong experience with Kafka or other messaging platforms, API gateways, relational and NoSQL databases, caching, and event-driven architecture.
- Experience with AI platforms or frameworks such as OpenAI, Azure OpenAI, Amazon Bedrock, LangChain, LlamaIndex, Semantic Kernel, or equivalent technologies.
- Strong knowledge of application security and identity standards including OAuth 2.0, OpenID Connect, JWT, IAM, encryption, and role-based access controls.
- Demonstrated ability to communicate complex architecture concepts to technical and non-technical stakeholders and lead cross-functional engineering teams.
- Travel: This position requires hybrid Model
- Degree: Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent work experience.
Nice to Have: (But not a must)
- Experience with Python and AI application development using FastAPI, Flask, or similar frameworks.
- Experience building enterprise AI assistants, autonomous or semi-autonomous agents, and knowledge-based applications.
- Familiarity with model evaluation, hallucination and bias testing, AI governance, model monitoring, and MLOps practices.
- Experience with Snowflake, Databricks, data lakes, streaming platforms, or modern enterprise data architectures.
- Experience in financial services, retirement services, wealth management, insurance, or another highly regulated industry.
- Cloud architecture, Java, Kubernetes, or AI-related professional certifications.
- Pre-sales, consulting, proposal development, estimation, and client presentation experience.
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