Technical Architect, AI driven SDLC

Plano, TX - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

We are looking for an innovative Technical Architect to spearhead the integration of Generative AI into our Software Development Life Cycle (SDLC). You will be the go-to expert for revolutionizing how we build software focusing on enhancing productivity and automating tasks through cutting-edge AI solutions. This role is dual-facing requiring you to both enhance our internal capabilities and act as a trusted advisor to our customers.

Must-Haves :

Applicants must be hands-on in coding - tech stack does not matter. Java/.Net/C.

Must have good communication skills.

Please ensure that candidates review the resume for crisp content and grammatical errors.

Must be from BE prefer CS

Must be aware of Gen-AI-in-Software-Development-Life-Cycle Enterprise-Application-Development RAG-Based-AI-Solutions Software-Development Software Development Life Cycle Python Enterprise Applications Aiml.

Key Responsibilities

Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core from requirements gathering and design to coding testing and deployment.
Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance training and support to help them boost productivity and efficiency.
Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs) implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management and developing intelligent AI agents to handle complex processes.
Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
Drive Innovation: Stay at the forefront of AI advancements continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.
Client Consulting & Advisory: Act as a subject matter expert for external customers providing strategic consulting assessments and thought leadership on integrating Gen AI into their unique SDLC.
Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps conduct hands-on workshops and guide their engineering teams through the transformation.

Skills and Qualifications

8-12 years of experience in software development with proven experience as a Technical Lead/Architect or a similar senior engineering role.
Demonstrated experience in designing architecting and building scalable large-scale enterprise applications from the ground up.
Strong hands-on experience with Generative AI technologies including LLMs (e.g. GPT series Claude Llama Mistral) vector databases and embedding models.
Demonstrated expertise in building and implementing RAG architectures.
Practical experience in fine-tuning open-source LLMs for specific tasks. (Good to have)
Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
Deep understanding of the entire SDLC and agile methodologies.
Proven experience in a customer-facing technical role (e.g. Solutions Architect Technical Consultant Pre-Sales) is highly desired.
Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
Excellent communication and presentation skills with the ability to engage influence and build trust with both internal technical teams and external customer stakeholders.

Key Responsibilities

Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core from requirements gathering and design to coding testing and deployment.
Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance training and support to help them boost productivity and efficiency.
Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs) implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management and developing intelligent AI agents to handle complex processes.
Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
Drive Innovation: Stay at the forefront of AI advancements continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.
Client Consulting & Advisory: Act as a subject matter expert for external customers providing strategic consulting assessments and thought leadership on integrating Gen AI into their unique SDLC.
Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps conduct hands-on workshops and guide their engineering teams through the transformation.

Job Description: We are looking for an innovative Technical Architect to spearhead the integration of Generative AI into our Software Development Life Cycle (SDLC). You will be the go-to expert for revolutionizing how we build software focusing on enhancing productivity and automating tasks thr...

Job Description:

Must-Haves :

Applicants must be hands-on in coding - tech stack does not matter. Java/.Net/C.

Must have good communication skills.

Please ensure that candidates review the resume for crisp content and grammatical errors.

Must be from BE prefer CS

Key Responsibilities

Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core from requirements gathering and design to coding testing and deployment.
Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance training and support to help them boost productivity and efficiency.
Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs) implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management and developing intelligent AI agents to handle complex processes.
Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
Drive Innovation: Stay at the forefront of AI advancements continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.
Client Consulting & Advisory: Act as a subject matter expert for external customers providing strategic consulting assessments and thought leadership on integrating Gen AI into their unique SDLC.
Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps conduct hands-on workshops and guide their engineering teams through the transformation.

Skills and Qualifications

8-12 years of experience in software development with proven experience as a Technical Lead/Architect or a similar senior engineering role.
Demonstrated experience in designing architecting and building scalable large-scale enterprise applications from the ground up.
Strong hands-on experience with Generative AI technologies including LLMs (e.g. GPT series Claude Llama Mistral) vector databases and embedding models.
Demonstrated expertise in building and implementing RAG architectures.
Practical experience in fine-tuning open-source LLMs for specific tasks. (Good to have)
Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
Deep understanding of the entire SDLC and agile methodologies.
Proven experience in a customer-facing technical role (e.g. Solutions Architect Technical Consultant Pre-Sales) is highly desired.
Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
Excellent communication and presentation skills with the ability to engage influence and build trust with both internal technical teams and external customer stakeholders.

Key Responsibilities

Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core from requirements gathering and design to coding testing and deployment.
Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance training and support to help them boost productivity and efficiency.
Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs) implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management and developing intelligent AI agents to handle complex processes.
Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
Drive Innovation: Stay at the forefront of AI advancements continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.
Client Consulting & Advisory: Act as a subject matter expert for external customers providing strategic consulting assessments and thought leadership on integrating Gen AI into their unique SDLC.
Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps conduct hands-on workshops and guide their engineering teams through the transformation.