Ai Solutions Architecture

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Today

AI Engineer - FDE Software Engineering Sr. Manager

Accenture Overland Park, KS

Overland Park, KS

Today

$123k - $302k/yr Full time Manager Agentic Ai Agentic Ai Orchestration

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Job Description

Accenture is hiring an AI Engineer to embed with enterprise clients as a technologist and trusted advisor. The role focuses on defining, prototyping, and deploying secure, operational agentic workflows, including architecture, AI platform integration, evaluation, and knowledge sharing.

Key Responsibilities

Design and engineer enterprise-ready AI agents, including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
Develop abstraction layers across AI providers such as Anthropic, Google, and OpenAI to support seamless integration and enablement.
Build scalable AI-native systems using containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability.
Tailor and deploy agentic applications across verticals such as finance, healthcare, and retail, addressing domain-specific processes through intelligent automation.
Run design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders and support trust and adoption.
Define and apply key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
Create reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.

Required Qualifications

Minimum 10 years of experience in end-to-end software engineering with SDLC expertise.
Minimum 8 years experience in:
- Programming in Python, Java, or equivalent, plus familiarity with evaluation tooling, logging, monitoring, and agent observability.
- Deploying to production, including CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
- Client communication and collaboration, including leading technical workshops and delivering under ambiguity.
Minimum 3 years experience in:
- Cloud-native systems (APIs, microservices, containerization, serverless).
- AI platforms including OpenAI, Claude, and open-source models, including building abstraction layers for multi-provider pipelines.
Minimum 2 years hands-on experience designing and delivering Agentic AI solutions.
Minimum 1.5 years experience with semantic models, ontologies, knowledge graphs, or enterprise knowledge, and experience using coding agents and AI-assisted software development.
Minimum 1 year expertise designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
Bachelor’s degree or equivalent (minimum 12 years work experience). If an Associate Degree is held, a minimum of 6 years work experience is required.

Technologies

Python, Java, Anthropic, Google, OpenAI, Claude
Kubernetes, Docker, microservices, serverless
CI/CD, Terraform, Helm
Open-source models, semantic models, ontologies, knowledge graphs, RAG
APIs, event-driven architectures

Role Expectations

Acts as an AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments.
Applies critical thinking in ambiguous situations to deliver concrete outcomes by designing, building, and running custom AI agents that augment workflows.
Supports the development of a playbook for enterprises adopting and scaling AI-native engineering globally.

The Work

Embeds directly with clients as both a technologist and trusted advisor.
Partners with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational within complex enterprise domains.
Integrates agentic capabilities into new or existing platforms and systems, including stitching solutions together in clients’ environments alongside ecosystem partners.

Bonus Points (If Applicable)

Experience as an Agentic AI Engineer in an Enterprise environment.
Additional AI certifications or agentic tool experience.
Experience defining or working with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
Understanding of the AI-native paradigm combining cloud-native and generative model architectures, focused on performance, modularity, and efficiency.
Delivered solutions across multiple industries, including tailoring agentic workflows for industry needs (for example, finance and healthcare).

Compensation and Location

Location: Overland Park, KS (onsite)
Salary Range: USD 122,700 - 302,400 per year

Benefits

Medical, dental, vision
Life and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

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24d ago

Principal AI Solutions Architect

Wells Fargo Concord, CA

Concord, CA

24d ago

$120 - $128/hr Contract Ai Solutions Architecture Artificial Intelligence Event Driven Architecture

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Job Description

The Principal AI Solutions Architect will support complex, large-scale Specialty Software Engineering initiatives at Wells Fargo (contingent resource assignment). This hybrid role is based in Concord, CA, and emphasizes consulting on high-impact engineering challenges while partnering with client stakeholders. Work authorization in the U.S. without visa sponsorship is required.

Responsibilities

Consult on complex initiatives with broad impact, including large-scale planning for Specialty Software Engineering efforts.
Review and analyze complex, multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation across multiple factors, including intangibles or unprecedented considerations.
Contribute to the resolution of complex and multi-faceted situations by applying solid understanding of function, policies, procedures, and compliance requirements to meet deliverables.
Strategically collaborate and consult with client personnel.

Requirements

Specialty Software Engineering experience, or an equivalent combination demonstrated through work or consulting experience, training, military experience, or education.
Applicants must be authorized to work for any employer in the United States.
This position is not eligible for visa sponsorship.

Technical Skills

Python software engineering
REST API development
Microservices architecture
Distributed systems design
Backend service development
FastAPI
AsyncIO
Multiprocessing
Performance tuning and profiling
Caching strategies
Database/query optimization
Event-driven architecture
High-availability and fault-tolerant system design

Generative AI and LLM Skills

Generative AI application development
Large Language Models (LLMs)
Agentic AI systems
Multi-agent workflow design
Retrieval-Augmented Generation (RAG)
Hybrid RAG architectures
Knowledge graph-enhanced RAG
Prompt engineering
Prompt orchestration
Tool calling
LLM routing and fallback strategies
Fine-tuning evaluation
Model evaluation frameworks
Hallucination detection
Human-in-the-loop validation
Text-to-SQL using LLMs
Schema-aware prompting
Embeddings and semantic search

AI Platform and Architecture Skills

Enterprise AI platform architecture
Scalable AI workflow design
AI governance standards
AI guardrails implementation
Responsible AI controls
PII redaction
Audit logging
Model usage monitoring
Latency, cost, and accuracy optimization
AI/ML feature engineering
Recommendation systems
Feedback loops for model improvement

Data Engineering Skills

Kafka
Streaming data pipelines

Databases and Vector Search

Vector database architecture
Semantic retrieval
Re-ranking
Embedding pipelines

Benefits

Health Insurance
Life insurance
401K
Voluntary Benefits

Location: Concord, CA (hybrid)
Compensation: USD 120 - 128 per hourly
Job Type: contract

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