Agentic AI Solution Architect
Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 28, 2026.
Job Description
Skill Set :
Python,Java,AI,FDE
Total Experience :
8.00 to 20.00 Years
No of Openings :
1
Job Post Date :
05/10/2026
Job Expiry Date :
21/11/2026
Domain :
IT
Location :
ALPHARETTA [United States]
Job Reference No :
4110871
Job Summary
Job Title: Agentic AI Solution Architect
Location: Mountain View, CA (San Francisco Bay Area) OR New York, NY (Day 1 Onsite)
Experience: 8+ Years
Job Summary
We are seeking a highly skilled Agentic AI Solution Architect with deep expertise in Multi-Agent Systems, Agentic AI, Large Language Models (LLMs), Python, and Java to lead the design and implementation of enterprise-scale AI solutions.
The ideal candidate will combine strong architectural leadership with hands-on development experience to build intelligent, scalable, and secure AI platforms that transform business processes. This role requires expertise in designing multi-agent ecosystems, orchestrating autonomous workflows, integrating enterprise systems, and establishing AI governance frameworks for production environments.
Key Responsibilities
- Architect and design enterprise-grade Agentic AI and Multi-Agent Systems for complex business use cases.
- Define scalable AI solution architectures using LLMs, RAG, Agentic workflows, and orchestration frameworks.
- Lead technical discovery workshops to identify AI transformation opportunities and translate business requirements into solution blueprints.
- Design and implement agent orchestration using frameworks such as LangGraph, CrewAI, AutoGen, or similar platforms.
- Establish reference architectures for AI observability, governance, security guardrails, compliance, and monitoring.
- Architect integrations between AI agents and enterprise applications, APIs, data platforms, and business systems.
- Provide technical leadership across the full solution lifecycle, from architecture and prototype development through enterprise deployment.
- Guide engineering teams in developing, optimizing, and scaling AI-driven applications.
- Define best practices for retrieval engineering, vector search, knowledge management, and RAG architectures.
- Drive continuous improvement of AI solutions through performance analysis, user feedback, and operational insights.
Required Skills
- 8+ years of software engineering and solution architecture experience.
- Strong hands-on programming expertise in Python and Java.
- Proven experience designing and implementing Agentic AI and Multi-Agent architectures.
- Deep expertise with orchestration frameworks such as LangGraph, CrewAI, AutoGen, or comparable AI workflow platforms.
- Strong understanding of RAG architectures, vector databases, retrieval engineering, and knowledge systems.
- Experience building autonomous AI workflows with enterprise-grade API integrations.
- Hands-on experience with AI observability, evaluation frameworks, governance, security controls, and responsible AI practices.
- Strong understanding of cloud-native architecture and enterprise AI deployment patterns.
- Ability to translate business challenges into scalable AI architecture and technology solutions.
- Experience leading architecture discussions with business, product, and engineering stakeholders.
Preferred Qualifications
- Experience designing AI solutions for Finance, Accounting, Close Management, or Enterprise Operations.
- Understanding of Month-End Close (MEC) and Year-End Close (YEC) processes.
- Experience architecting enterprise AI solutions across regulated environments.
- Customer-facing consulting, solution architecture, or advisory experience.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Familiarity with AI governance, compliance frameworks, and enterprise security patterns.
- Experience leading architecture reviews and technical strategy discussions with executive stakeholders.
Ideal Candidate Profile
- Solution Architect who remains hands-on with development.
- Strong background in Enterprise AI, GenAI, and Agentic AI platforms.
- Capable of owning architecture decisions while actively building prototypes and production solutions.
- Comfortable engaging with C-level stakeholders, business leaders, and engineering teams.
- Proven track record of delivering scalable AI solutions that drive measurable business outcomes.
The pay range for this role is $220,000 - $230,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected]