SelectMinds
Benefits:
Oppurtunity for Advancement
Hybrid
Long Term
Job Title: Agentic AI Solution Architect Location: Dallas, TX (Day 1 Onsite) Interview: In-person
Role Summary: We are seeking an Agentic AI Solution Architect to design, architect, and lead the deployment of autonomous multi-agent AI systems across mission-critical operations, customer-facing platforms, and enterprise IT ecosystems. This role bridges business priorities, large-scale infrastructure, and next-generation AI capabilities to deliver high-value, safe, and scalable solutions. You will work closely with stakeholders across operations, IT, and customer experience to turn business challenges into working agentic AI designs ready for production.
Key Responsibilities: - Architect end-to-end agentic AI ecosystems with orchestration, planning, and autonomous execution. - Design multi-agent workflows for disruption management, crew scheduling, predictive maintenance, and customer rebooking. - Integrate LLM agents with enterprise and systems (APIs, databases, IoT, crew management platforms). - Define interfaces, APIs, data flows, governance, and security models for safe agent-to-system interactions. - Establish architecture patterns, best practices, and design principles for scalable agentic AI deployments. - Implement governance and safety guardrails, including escalation frameworks and human-in-the-loop oversight. - Lead technical reviews, prototyping, validation, and iteration cycles to refine AI solutions. - Mentor engineering and AI teams on agentic design, RAG patterns, and scalable AI deployment. - Track emerging research in multi-agent systems, reinforcement learning, and self-adaptive AI, and apply relevant innovations.
Required Skills - 10+ years in IT/AI Solution Architecture, with 2-3 years in LLM/Agentic AI system design. - Hands-on experience with LangChain, AutoGen, CrewAI, Azure AI Agent Framework. - Strong expertise in RAG (Retrieval-Augmented Generation), embeddings, and vector DBs (Pinecone, Weaviate, FAISS). - Proven track record in architecting distributed systems, microservices, and event-driven/streaming platforms. -
Cloud expertise : AWS, Azure, or GCP AI/ML platforms (model serving, orchestration, autoscaling). - Strong integration background in APIs, event-driven architectures, and enterprise system interoperability. - Experience delivering AI systems into production with attention to governance, observability, and continuous learning. - Excellent communication skills for bridging technical teams and business stakeholders.
Preferred / Nice-to-Haves - Familiarity with AI governance, monitoring, explainability, and safety frameworks. - Experience with reinforcement learning libraries (Ray, RLlib, OpenAI frameworks). - Exposure to digital twin simulations for testing and validating agent behaviors
Compensation: $75.00 - $80.00 per hour
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.
Job Title: Agentic AI Solution Architect Location: Dallas, TX (Day 1 Onsite) Interview: In-person
Role Summary: We are seeking an Agentic AI Solution Architect to design, architect, and lead the deployment of autonomous multi-agent AI systems across mission-critical operations, customer-facing platforms, and enterprise IT ecosystems. This role bridges business priorities, large-scale infrastructure, and next-generation AI capabilities to deliver high-value, safe, and scalable solutions. You will work closely with stakeholders across operations, IT, and customer experience to turn business challenges into working agentic AI designs ready for production.
Key Responsibilities: - Architect end-to-end agentic AI ecosystems with orchestration, planning, and autonomous execution. - Design multi-agent workflows for disruption management, crew scheduling, predictive maintenance, and customer rebooking. - Integrate LLM agents with enterprise and systems (APIs, databases, IoT, crew management platforms). - Define interfaces, APIs, data flows, governance, and security models for safe agent-to-system interactions. - Establish architecture patterns, best practices, and design principles for scalable agentic AI deployments. - Implement governance and safety guardrails, including escalation frameworks and human-in-the-loop oversight. - Lead technical reviews, prototyping, validation, and iteration cycles to refine AI solutions. - Mentor engineering and AI teams on agentic design, RAG patterns, and scalable AI deployment. - Track emerging research in multi-agent systems, reinforcement learning, and self-adaptive AI, and apply relevant innovations.
Required Skills - 10+ years in IT/AI Solution Architecture, with 2-3 years in LLM/Agentic AI system design. - Hands-on experience with LangChain, AutoGen, CrewAI, Azure AI Agent Framework. - Strong expertise in RAG (Retrieval-Augmented Generation), embeddings, and vector DBs (Pinecone, Weaviate, FAISS). - Proven track record in architecting distributed systems, microservices, and event-driven/streaming platforms. -
Cloud expertise : AWS, Azure, or GCP AI/ML platforms (model serving, orchestration, autoscaling). - Strong integration background in APIs, event-driven architectures, and enterprise system interoperability. - Experience delivering AI systems into production with attention to governance, observability, and continuous learning. - Excellent communication skills for bridging technical teams and business stakeholders.
Preferred / Nice-to-Haves - Familiarity with AI governance, monitoring, explainability, and safety frameworks. - Experience with reinforcement learning libraries (Ray, RLlib, OpenAI frameworks). - Exposure to digital twin simulations for testing and validating agent behaviors
Compensation: $75.00 - $80.00 per hour
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.